>FPATH "C:\science\Nzi\Canada\2008\FarmTrap

>USE "C:\science\Nzi\Canada\2008\farmtrap\farmtrap.syd"
SYSTAT Rectangular file C:\science\\Nzi\Canada\2008\farmtrap\farmtrap.syd,
created Fri Jul 18, 2008 at 14:19:40, contains variables:
 ANOPHELES    CULISETA     CULEX        AEDES        STOMOXYS     MOSQUITOES
 HAEMATOBIA   HYBOMITRA    TABANUS      LEUCOTABANUS CHRYSOPS     TABANIDAE
 MALETAB      EXPTID$      PERSON$      COUNTRY$     PROVINCE$    CITY$
 LOCATION$    LATITUDE$    LONGITUDE$   ELEVATION    HABITAT$     COMMENT
 EXPTID2$     DATECHK      REPLICATE    SITE         TYPE$        ODOURS$
 SEQ          COMMEXPT$    COMMTRAP     COMMODOURS   EXPTYPE$     CAGE$
 SCREEN       SIDE         ORIENTATION$ CONFIGURATIO SURFACE      HEIGHT
 RISK         HRSET        HRCHK        WEATHER$     MINT         MAXT
 RAIN2        WIND         EXPTID3$     DATECHK2     REPLICATE2   SITE2
 TYPE2$       ODOURS2$     STCALM       STCALF       STCALX       HAIRRM
 HAIRRF       HAIRRX       HAALCM       HAALCF       HAALCX       AEDESF
 AEDORF       AEVEXF       AESTIF       CULEXF       CUPIPF       CULISETAF
 CUINOF       ANOPHELESF   ANPUNF       MOSQM        MOSQF        NOSEEUM
 SIMULIIDAE   EXPTID4$     DATECHK3     REPLICATE3   SITE3        TYPE3$
 ODOURS3$     TABFEMALE    TABMALE      HYBOX        HYLASF       HYLASM
 HYILLF       HYTREF       HYFROF       HYEPIF       HYPEDF       HYLURF
 HYNITF       HYAURF       HYAFFF       HYARPF       TABANUSF     TASIMF
 TASIMM       TAQUIF       TAQUIM       TAREIF       TAREIM       TALINF
 TANOVF       TANOVM       TAFUSF       TALIMF       TANIGF       LEUCOX
 LEANNF       POTAX        ATYLOTUSX    CHRYSOPSX    CHMITF       CHCINF
 CHCINM       CHFRIF       CHAESF       CHCALF       CHINDF       CHMONF
 CHABEF       CHUNIF       CHMOEF       CHVITF       CHLATF       CHSTRF
 CHZINF       CHDAWF       CHEXCF       CHATEF       CHFURF       GASTX
 GAINTF       GAINTM       GAHAEF       GAHAEM       GANASF       GANASM
 DATE         MIN          MAX          RAIN         DAYAVG       DAYSD
 DAYRH        DAYWIND      MONTH        DAY          YEAR

>REM	LOG(X+1) TRANSFORMATION APPLIED TO ALL VARIABLES IN EXCEL
>REM	CONFIRM THAT LSQ MEANS = EXCEL PIVOT TABLE MEANS TO CATCH TYPOS
>PRINT MEDIUM
>REM	---------------------------------------------------
>REM	All Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL Tabanidae = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: TABANIDAE   N: 168   Multiple R: 0.7420   Squared multiple R: 0.5505
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     2.2027    11       0.2002      3.1466      0.0008
SITE                      3.9498    11       0.3591      5.6423      0.0000
SEQ                       2.8124    11       0.2557      4.0175      0.0000
                                                                                                                                                                                                        
Error                     8.5276   134       0.0636

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         1.9108       0.0754      14
  TYPE$       =NZI-COT            2.0085       0.0754      14
  TYPE$       =NZI-NYL-TURQ       1.8186       0.0754      14
  TYPE$       =NZI-SUN-BIO        1.9063       0.0754      14
  TYPE$       =NZI-SUN-ECO        1.7947       0.0754      14
  TYPE$       =NZI-TNB-BIO-       1.9508       0.0754      14
  TYPE$       =NZI-TNB-FORE       1.6894       0.0754      14
  TYPE$       =NZI-TNB-IN6        2.1097       0.0754      14
  TYPE$       =NZI-TNB-NAVY       1.8924       0.0754      14
  TYPE$       =NZI-TNB-STAG       1.6638       0.0754      14
  TYPE$       =NZI-TURQ-CIB       1.9944       0.0754      14
  TYPE$       =NZI-TURQ4MG        1.6610       0.0754      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 1.8967       0.0754      14
  SITE        =24                 2.1636       0.0754      14
  SITE        =25                 1.9604       0.0754      14
  SITE        =26                 1.8219       0.0754      14
  SITE        =27                 1.4923       0.0754      14
  SITE        =28                 1.8043       0.0754      14
  SITE        =29                 1.8640       0.0754      14
  SITE        =30                 2.0804       0.0754      14
  SITE        =31                 1.9176       0.0754      14
  SITE        =32                 1.8434       0.0754      14
  SITE        =33                 1.7720       0.0754      14
  SITE        =34                 1.7836       0.0754      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  1.7934       0.0728      12
  SEQ         =2                  2.0269       0.0728      12
  SEQ         =3                  1.8914       0.0728      12
  SEQ         =4                  1.7927       0.0728      12
  SEQ         =5                  1.9744       0.0728      12
  SEQ         =6                  1.7952       0.0728      12
  SEQ         =7                  1.6628       0.0515      24
  SEQ         =8                  1.7203       0.0515      24
  SEQ         =9                  1.8048       0.0728      12
  SEQ         =10                 2.0459       0.0728      12
  SEQ         =11                 2.0321       0.0728      12
  SEQ         =12                 1.8603       0.0728      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.7708
First Order Autocorrelation       0.0893
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.064 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0977      0.0000
             3         -0.0922     -0.1899      0.0000
             4         -0.0045     -0.1022      0.0877      0.0000
             5         -0.1161     -0.2138     -0.0239     -0.1116      0.0000
             6          0.0401     -0.0577      0.1322      0.0446      0.1562      0.0000
             7         -0.2214     -0.3191     -0.1292     -0.2169     -0.1053     -0.2615      0.0000
             8          0.1989      0.1012      0.2911      0.2034      0.3150      0.1589      0.4203      0.0000
             9         -0.0184     -0.1161      0.0738     -0.0139      0.0977     -0.0584      0.2030     -0.2173      0.0000
            10         -0.2470     -0.3447     -0.1548     -0.2425     -0.1309     -0.2871     -0.0256     -0.4459     -0.2286
            11          0.0836     -0.0141      0.1758      0.0881      0.1997      0.0436      0.3050     -0.1153      0.1020
            12         -0.2497     -0.3475     -0.1576     -0.2453     -0.1337     -0.2898     -0.0283     -0.4487     -0.2314

                        10          11          12
            10          0.0000
            11          0.3306      0.0000
            12         -0.0028     -0.3334      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9982      1.0000
             3          0.9991      0.7654      1.0000
             4          1.0000      0.9987      0.9998      1.0000
             5          0.9973      0.7681      1.0000      0.9968      1.0000
             6          1.0000      1.0000      0.9864      1.0000      0.9679      1.0000
             7          0.6732      0.1153      0.9837      0.7511      0.9971      0.4718      1.0000
             8          0.7331      0.9987      0.2422      0.6761      0.1451      0.9160      0.0117      1.0000
             9          1.0000      0.9961      0.9999      1.0000      0.9982      1.0000      0.6789      0.7488      1.0000
            10          0.5652      0.0993      0.9699      0.4292      0.9789      0.2620      1.0000      0.0019      0.5269
            11          0.9998      1.0000      0.9276      0.9993      0.7280      1.0000      0.1814      0.9936      0.9986
            12          0.4554      0.0339      0.9203      0.5810      0.9851      0.2484      1.0000      0.0043      0.5072

                        10          11          12
            10          1.0000
            11          0.0464      1.0000
            12          1.0000      0.1267      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL Hybomitra = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: HYBOMITRA   N: 168   Multiple R: 0.7773   Squared multiple R: 0.6041
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     4.0418    11       0.3674      2.6956      0.0036
SITE                      3.3000    11       0.3000      2.2008      0.0178
SEQ                      18.7912    11       1.7083     12.5324      0.0000
                                                                                                                                                                                                        
Error                    18.2655   134       0.1363

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         1.1079       0.1103      14
  TYPE$       =NZI-COT            1.1033       0.1103      14
  TYPE$       =NZI-NYL-TURQ       1.1360       0.1103      14
  TYPE$       =NZI-SUN-BIO        0.9485       0.1103      14
  TYPE$       =NZI-SUN-ECO        0.8794       0.1103      14
  TYPE$       =NZI-TNB-BIO-       0.9415       0.1103      14
  TYPE$       =NZI-TNB-FORE       0.7689       0.1103      14
  TYPE$       =NZI-TNB-IN6        1.3398       0.1103      14
  TYPE$       =NZI-TNB-NAVY       0.8769       0.1103      14
  TYPE$       =NZI-TNB-STAG       0.7145       0.1103      14
  TYPE$       =NZI-TURQ-CIB       1.2331       0.1103      14
  TYPE$       =NZI-TURQ4MG        1.0424       0.1103      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.9750       0.1103      14
  SITE        =24                 1.2255       0.1103      14
  SITE        =25                 1.0272       0.1103      14
  SITE        =26                 0.8842       0.1103      14
  SITE        =27                 0.7155       0.1103      14
  SITE        =28                 0.7955       0.1103      14
  SITE        =29                 1.0482       0.1103      14
  SITE        =30                 1.2112       0.1103      14
  SITE        =31                 1.1256       0.1103      14
  SITE        =32                 1.1651       0.1103      14
  SITE        =33                 1.0207       0.1103      14
  SITE        =34                 0.8984       0.1103      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  1.5635       0.1066      12
  SEQ         =2                  1.5868       0.1066      12
  SEQ         =3                  1.0320       0.1066      12
  SEQ         =4                  0.9719       0.1066      12
  SEQ         =5                  1.0453       0.1066      12
  SEQ         =6                  1.0171       0.1066      12
  SEQ         =7                  1.2455       0.0754      24
  SEQ         =8                  1.1944       0.0754      24
  SEQ         =9                  0.8407       0.1066      12
  SEQ         =10                 0.6840       0.1066      12
  SEQ         =11                 0.5093       0.1066      12
  SEQ         =12                 0.4018       0.1066      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.1981
First Order Autocorrelation       0.3873
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYBOMITRA

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.136 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.0046      0.0000
             3          0.0281      0.0326      0.0000
             4         -0.1594     -0.1549     -0.1875      0.0000
             5         -0.2285     -0.2240     -0.2566     -0.0691      0.0000
             6         -0.1664     -0.1619     -0.1945     -0.0070      0.0621      0.0000
             7         -0.3391     -0.3345     -0.3671     -0.1796     -0.1105     -0.1726      0.0000
             8          0.2319      0.2365      0.2039      0.3914      0.4605      0.3984      0.5710      0.0000
             9         -0.2310     -0.2265     -0.2591     -0.0716     -0.0025     -0.0646      0.1080     -0.4630      0.0000
            10         -0.3934     -0.3888     -0.4214     -0.2339     -0.1649     -0.2270     -0.0543     -0.6253     -0.1623
            11          0.1252      0.1297      0.0971      0.2846      0.3537      0.2916      0.4642     -0.1068      0.3562
            12         -0.0655     -0.0609     -0.0935      0.0940      0.1630      0.1009      0.2736     -0.2974      0.1656

                        10          11          12
            10          0.0000
            11          0.5185      0.0000
            12          0.3279     -0.1906      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          1.0000      1.0000
             3          1.0000      1.0000      1.0000
             4          0.9974      0.9983      0.9934      1.0000
             5          0.9686      0.9724      0.9070      1.0000      1.0000
             6          0.9933      0.9956      0.9858      1.0000      1.0000      1.0000
             7          0.6057      0.5997      0.3735      0.9954      0.9999      0.9968      1.0000
             8          0.9276      0.9391      0.9820      0.2452      0.1465      0.2211      0.0296      1.0000
             9          0.9652      0.9602      0.8898      1.0000      1.0000      1.0000      0.9999      0.1839      1.0000
            10          0.4260      0.4501      0.3147      0.9233      0.9938      0.9596      1.0000      0.0039      0.9954
            11          0.9998      0.9998      1.0000      0.7365      0.4349      0.7851      0.1380      0.9999      0.4982
            12          1.0000      1.0000      1.0000      1.0000      0.9968      1.0000      0.7834      0.8225      0.9946

                        10          11          12
            10          1.0000
            11          0.0214      1.0000
            12          0.6561      0.9924      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra LASIOPHTHALMA
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HyLASF = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: HYLASF   N: 168   Multiple R: 0.8185   Squared multiple R: 0.6700
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     4.4595    11       0.4054      2.4426      0.0083
SITE                      1.7194    11       0.1563      0.9418      0.5028
SEQ                      37.6245    11       3.4204     20.6080      0.0000
                                                                                                                                                                                                        
Error                    22.2406   134       0.1660

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.8353       0.1217      14
  TYPE$       =NZI-COT            0.7312       0.1217      14
  TYPE$       =NZI-NYL-TURQ       0.9353       0.1217      14
  TYPE$       =NZI-SUN-BIO        0.7913       0.1217      14
  TYPE$       =NZI-SUN-ECO        0.6587       0.1217      14
  TYPE$       =NZI-TNB-BIO-       0.6732       0.1217      14
  TYPE$       =NZI-TNB-FORE       0.5088       0.1217      14
  TYPE$       =NZI-TNB-IN6        1.1158       0.1217      14
  TYPE$       =NZI-TNB-NAVY       0.6324       0.1217      14
  TYPE$       =NZI-TNB-STAG       0.5977       0.1217      14
  TYPE$       =NZI-TURQ-CIB       1.0548       0.1217      14
  TYPE$       =NZI-TURQ4MG        0.9049       0.1217      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.7373       0.1217      14
  SITE        =24                 0.9009       0.1217      14
  SITE        =25                 0.8740       0.1217      14
  SITE        =26                 0.7256       0.1217      14
  SITE        =27                 0.5893       0.1217      14
  SITE        =28                 0.6422       0.1217      14
  SITE        =29                 0.8160       0.1217      14
  SITE        =30                 0.9892       0.1217      14
  SITE        =31                 0.7664       0.1217      14
  SITE        =32                 0.8836       0.1217      14
  SITE        =33                 0.7664       0.1217      14
  SITE        =34                 0.7486       0.1217      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  1.5429       0.1176      12
  SEQ         =2                  1.5670       0.1176      12
  SEQ         =3                  0.9949       0.1176      12
  SEQ         =4                  0.8867       0.1176      12
  SEQ         =5                  0.8939       0.1176      12
  SEQ         =6                  0.7165       0.1176      12
  SEQ         =7                  1.1325       0.0832      24
  SEQ         =8                  1.0182       0.0832      24
  SEQ         =9                  0.3522       0.1176      12
  SEQ         =10                 0.1542       0.1176      12
  SEQ         =11                 0.1307       0.1176      12
  SEQ         =12                 0.0497       0.1176      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         0.7880
First Order Autocorrelation       0.5954
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYLASF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.166 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.1041      0.0000
             3          0.1000      0.2041      0.0000
             4         -0.0440      0.0601     -0.1440      0.0000
             5         -0.1766     -0.0726     -0.2767     -0.1326      0.0000
             6         -0.1621     -0.0580     -0.2621     -0.1181      0.0146      0.0000
             7         -0.3265     -0.2224     -0.4265     -0.2825     -0.1499     -0.1644      0.0000
             8          0.2805      0.3846      0.1804      0.3245      0.4571      0.4426      0.6070      0.0000
             9         -0.2030     -0.0989     -0.3030     -0.1589     -0.0263     -0.0409      0.1236     -0.4834      0.0000
            10         -0.2376     -0.1335     -0.3376     -0.1936     -0.0609     -0.0755      0.0889     -0.5181     -0.0346
            11          0.2195      0.3236      0.1195      0.2635      0.3962      0.3816      0.5460     -0.0609      0.4225
            12          0.0696      0.1737     -0.0304      0.1137      0.2463      0.2317      0.3962     -0.2108      0.2726

                        10          11          12
            10          0.0000
            11          0.4571      0.0000
            12          0.3072     -0.1499      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          1.0000      1.0000
             3          1.0000      0.9840      1.0000
             4          1.0000      1.0000      0.9998      1.0000
             5          0.9984      1.0000      0.9199      0.9998      1.0000
             6          0.9977      1.0000      0.9372      0.9999      1.0000      1.0000
             7          0.7881      0.9812      0.2925      0.9286      0.9991      0.9992      1.0000
             8          0.8711      0.5341      0.9972      0.6933      0.2826      0.2121      0.0444      1.0000
             9          0.9944      1.0000      0.8448      0.9991      1.0000      1.0000      0.9998      0.2569      1.0000
            10          0.9796      0.9999      0.7935      0.9912      1.0000      1.0000      1.0000      0.1107      1.0000
            11          0.9852      0.8357      1.0000      0.9004      0.4101      0.5467      0.0824      1.0000      0.3788
            12          1.0000      0.9965      1.0000      1.0000      0.9594      0.9774      0.3773      0.9922      0.8915

                        10          11          12
            10          1.0000
            11          0.1722      1.0000
            12          0.8479      0.9996      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra FRONTALIS
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HyFROF = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: HYFROF   N: 168   Multiple R: 0.7376   Squared multiple R: 0.5440
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     2.4756    11       0.2251      3.6838      0.0001
SITE                      3.3745    11       0.3068      5.0213      0.0000
SEQ                       2.5880    11       0.2353      3.8510      0.0001
                                                                                                                                                                                                        
Error                     8.1866   134       0.0611

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.5249       0.0738      14
  TYPE$       =NZI-COT            0.5961       0.0738      14
  TYPE$       =NZI-NYL-TURQ       0.2191       0.0738      14
  TYPE$       =NZI-SUN-BIO        0.3528       0.0738      14
  TYPE$       =NZI-SUN-ECO        0.2841       0.0738      14
  TYPE$       =NZI-TNB-BIO-       0.4043       0.0738      14
  TYPE$       =NZI-TNB-FORE       0.4195       0.0738      14
  TYPE$       =NZI-TNB-IN6        0.6063       0.0738      14
  TYPE$       =NZI-TNB-NAVY       0.3755       0.0738      14
  TYPE$       =NZI-TNB-STAG       0.1882       0.0738      14
  TYPE$       =NZI-TURQ-CIB       0.3025       0.0738      14
  TYPE$       =NZI-TURQ4MG        0.2071       0.0738      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.3759       0.0738      14
  SITE        =24                 0.6584       0.0738      14
  SITE        =25                 0.2945       0.0738      14
  SITE        =26                 0.2221       0.0738      14
  SITE        =27                 0.1291       0.0738      14
  SITE        =28                 0.2264       0.0738      14
  SITE        =29                 0.3975       0.0738      14
  SITE        =30                 0.3824       0.0738      14
  SITE        =31                 0.5915       0.0738      14
  SITE        =32                 0.5832       0.0738      14
  SITE        =33                 0.3790       0.0738      14
  SITE        =34                 0.2404       0.0738      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.2864       0.0714      12
  SEQ         =2                  0.2971       0.0714      12
  SEQ         =3                  0.1995       0.0714      12
  SEQ         =4                  0.3006       0.0714      12
  SEQ         =5                  0.5463       0.0714      12
  SEQ         =6                  0.4866       0.0714      12
  SEQ         =7                  0.2265       0.0505      24
  SEQ         =8                  0.2965       0.0505      24
  SEQ         =9                  0.5871       0.0714      12
  SEQ         =10                 0.5315       0.0714      12
  SEQ         =11                 0.3901       0.0714      12
  SEQ         =12                 0.3324       0.0714      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.5573
First Order Autocorrelation       0.2201
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYFROF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.061 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0713      0.0000
             3         -0.3058     -0.3770      0.0000
             4         -0.1721     -0.2433      0.1337      0.0000
             5         -0.2408     -0.3120      0.0650     -0.0687      0.0000
             6         -0.1206     -0.1919      0.1852      0.0515      0.1202      0.0000
             7         -0.1053     -0.1766      0.2004      0.0667      0.1354      0.0153      0.0000
             8          0.0814      0.0102      0.3872      0.2535      0.3222      0.2021      0.1868      0.0000
             9         -0.1494     -0.2206      0.1564      0.0227      0.0914     -0.0287     -0.0440     -0.2308      0.0000
            10         -0.3367     -0.4080     -0.0309     -0.1647     -0.0959     -0.2161     -0.2314     -0.4182     -0.1874
            11         -0.2224     -0.2936      0.0834     -0.0503      0.0184     -0.1018     -0.1170     -0.3038     -0.0730
            12         -0.3178     -0.3890     -0.0120     -0.1457     -0.0770     -0.1971     -0.2124     -0.3992     -0.1684

                        10          11          12
            10          0.0000
            11          0.1144      0.0000
            12          0.0190     -0.0954      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9999      1.0000
             3          0.0958      0.0071      1.0000
             4          0.8952      0.4936      0.9888      1.0000
             5          0.5779      0.1758      1.0000      1.0000      1.0000
             6          0.9870      0.7527      0.8383      1.0000      0.9955      1.0000
             7          0.9980      0.8772      0.6962      1.0000      0.9726      1.0000      1.0000
             8          0.9997      1.0000      0.0154      0.2933      0.1042      0.6564      0.8790      1.0000
             9          0.9732      0.6489      0.9439      1.0000      0.9988      1.0000      1.0000      0.6388      1.0000
            10          0.0995      0.0133      1.0000      0.8944      0.9982      0.6786      0.5477      0.0040      0.7804
            11          0.6371      0.2553      0.9999      1.0000      1.0000      0.9983      0.9950      0.1011      0.9999
            12          0.1014      0.0060      1.0000      0.9783      0.9999      0.7934      0.5802      0.0170      0.8789

                        10          11          12
            10          1.0000
            11          0.9916      1.0000
            12          1.0000      0.9994      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL tabanus = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: TABANUS   N: 168   Multiple R: 0.7765   Squared multiple R: 0.6029
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     2.2836    11       0.2076      1.6509      0.0915
SITE                      4.3124    11       0.3920      3.1177      0.0009
SEQ                      17.9249    11       1.6295     12.9589      0.0000
                                                                                                                                                                                                        
Error                    16.8500   134       0.1257

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         1.7156       0.1059      14
  TYPE$       =NZI-COT            1.8598       0.1059      14
  TYPE$       =NZI-NYL-TURQ       1.5726       0.1059      14
  TYPE$       =NZI-SUN-BIO        1.7041       0.1059      14
  TYPE$       =NZI-SUN-ECO        1.5723       0.1059      14
  TYPE$       =NZI-TNB-BIO-       1.8133       0.1059      14
  TYPE$       =NZI-TNB-FORE       1.5534       0.1059      14
  TYPE$       =NZI-TNB-IN6        1.8266       0.1059      14
  TYPE$       =NZI-TNB-NAVY       1.7481       0.1059      14
  TYPE$       =NZI-TNB-STAG       1.4244       0.1059      14
  TYPE$       =NZI-TURQ-CIB       1.6654       0.1059      14
  TYPE$       =NZI-TURQ4MG        1.4679       0.1059      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 1.7089       0.1059      14
  SITE        =24                 1.9631       0.1059      14
  SITE        =25                 1.7234       0.1059      14
  SITE        =26                 1.6314       0.1059      14
  SITE        =27                 1.2221       0.1059      14
  SITE        =28                 1.5641       0.1059      14
  SITE        =29                 1.6082       0.1059      14
  SITE        =30                 1.8456       0.1059      14
  SITE        =31                 1.7626       0.1059      14
  SITE        =32                 1.6667       0.1059      14
  SITE        =33                 1.5653       0.1059      14
  SITE        =34                 1.6626       0.1059      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  1.3454       0.1024      12
  SEQ         =2                  1.7987       0.1024      12
  SEQ         =3                  1.7591       0.1024      12
  SEQ         =4                  1.6045       0.1024      12
  SEQ         =5                  1.8446       0.1024      12
  SEQ         =6                  1.6322       0.1024      12
  SEQ         =7                  0.9935       0.0724      24
  SEQ         =8                  1.3320       0.0724      24
  SEQ         =9                  1.7349       0.1024      12
  SEQ         =10                 2.0132       0.1024      12
  SEQ         =11                 2.0196       0.1024      12
  SEQ         =12                 1.8461       0.1024      12

----------------------------------------------------------------------------------------------------------------------------------
*** WARNING ***
Case           71 is an outlier        (Studentized Residual =      -3.6404)
 
Durbin-Watson D Statistic         1.0650
First Order Autocorrelation       0.4600
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.126 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.1443      0.0000
             3         -0.1429     -0.2872      0.0000
             4         -0.0115     -0.1557      0.1315      0.0000
             5         -0.1433     -0.2875     -0.0003     -0.1318      0.0000
             6          0.0978     -0.0465      0.2407      0.1092      0.2410      0.0000
             7         -0.1621     -0.3064     -0.0192     -0.1507     -0.0189     -0.2599      0.0000
             8          0.1110     -0.0333      0.2539      0.1224      0.2542      0.0132      0.2731      0.0000
             9          0.0326     -0.1117      0.1755      0.0440      0.1758     -0.0652      0.1947     -0.0784      0.0000
            10         -0.2912     -0.4355     -0.1482     -0.2797     -0.1479     -0.3889     -0.1290     -0.4022     -0.3237
            11         -0.0502     -0.1945      0.0927     -0.0388      0.0930     -0.1480      0.1119     -0.1612     -0.0828
            12         -0.2476     -0.3919     -0.1047     -0.2362     -0.1044     -0.3454     -0.0855     -0.3586     -0.2802

                        10          11          12
            10          0.0000
            11          0.2410      0.0000
            12          0.0435     -0.1974      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9973      1.0000
             3          0.9979      0.6699      1.0000
             4          1.0000      0.9974      0.9996      1.0000
             5          0.9992      0.8161      1.0000      0.9993      1.0000
             6          0.9999      1.0000      0.9107      0.9998      0.9376      1.0000
             7          0.9963      0.6706      1.0000      0.9986      1.0000      0.8980      1.0000
             8          0.9998      1.0000      0.8880      0.9994      0.8872      1.0000      0.8646      1.0000
             9          1.0000      0.9999      0.9915      1.0000      0.9853      1.0000      0.9676      1.0000      1.0000
            10          0.8032      0.2139      0.9988      0.7327      0.9966      0.3172      0.9995      0.2421      0.5147
            11          1.0000      0.9875      1.0000      1.0000      1.0000      0.9981      0.9999      0.9939      1.0000
            12          0.8931      0.2158      0.9999      0.9468      0.9999      0.5112      1.0000      0.5125      0.7305

                        10          11          12
            10          1.0000
            11          0.8657      1.0000
            12          1.0000      0.9859      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus SIMILIS
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TASIMF = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: TASIMF   N: 168   Multiple R: 0.7665   Squared multiple R: 0.5875
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     2.4475    11       0.2225      1.9742      0.0356
SITE                      4.8277    11       0.4389      3.8941      0.0001
SEQ                      13.1114    11       1.1919     10.5758      0.0000
                                                                                                                                                                                                        
Error                    15.1024   134       0.1127

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         1.4730       0.1003      14
  TYPE$       =NZI-COT            1.6612       0.1003      14
  TYPE$       =NZI-NYL-TURQ       1.3479       0.1003      14
  TYPE$       =NZI-SUN-BIO        1.3856       0.1003      14
  TYPE$       =NZI-SUN-ECO        1.3676       0.1003      14
  TYPE$       =NZI-TNB-BIO-       1.5401       0.1003      14
  TYPE$       =NZI-TNB-FORE       1.3404       0.1003      14
  TYPE$       =NZI-TNB-IN6        1.5319       0.1003      14
  TYPE$       =NZI-TNB-NAVY       1.5063       0.1003      14
  TYPE$       =NZI-TNB-STAG       1.0863       0.1003      14
  TYPE$       =NZI-TURQ-CIB       1.4173       0.1003      14
  TYPE$       =NZI-TURQ4MG        1.3523       0.1003      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 1.3595       0.1003      14
  SITE        =24                 1.7120       0.1003      14
  SITE        =25                 1.3883       0.1003      14
  SITE        =26                 1.3600       0.1003      14
  SITE        =27                 0.9867       0.1003      14
  SITE        =28                 1.3534       0.1003      14
  SITE        =29                 1.3989       0.1003      14
  SITE        =30                 1.6855       0.1003      14
  SITE        =31                 1.5868       0.1003      14
  SITE        =32                 1.4239       0.1003      14
  SITE        =33                 1.3034       0.1003      14
  SITE        =34                 1.4515       0.1003      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  1.3434       0.0969      12
  SEQ         =2                  1.7977       0.0969      12
  SEQ         =3                  1.7570       0.0969      12
  SEQ         =4                  1.5841       0.0969      12
  SEQ         =5                  1.8137       0.0969      12
  SEQ         =6                  1.5725       0.0969      12
  SEQ         =7                  0.9474       0.0685      24
  SEQ         =8                  1.2138       0.0685      24
  SEQ         =9                  1.2758       0.0969      12
  SEQ         =10                 1.2747       0.0969      12
  SEQ         =11                 1.2569       0.0969      12
  SEQ         =12                 1.1730       0.0969      12

----------------------------------------------------------------------------------------------------------------------------------
*** WARNING ***
Case           71 is an outlier        (Studentized Residual =      -4.0307)
Case           89 is an outlier        (Studentized Residual =      -3.7737)
 
Durbin-Watson D Statistic         1.3229
First Order Autocorrelation       0.3353
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of TASIMF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.113 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.1882      0.0000
             3         -0.1251     -0.3133      0.0000
             4         -0.0874     -0.2756      0.0377      0.0000
             5         -0.1054     -0.2936      0.0197     -0.0180      0.0000
             6          0.0671     -0.1211      0.1922      0.1545      0.1725      0.0000
             7         -0.1327     -0.3209     -0.0076     -0.0452     -0.0273     -0.1998      0.0000
             8          0.0589     -0.1293      0.1840      0.1464      0.1643     -0.0082      0.1916      0.0000
             9          0.0333     -0.1549      0.1583      0.1207      0.1386     -0.0338      0.1659     -0.0257      0.0000
            10         -0.3867     -0.5749     -0.2616     -0.2993     -0.2813     -0.4538     -0.2541     -0.4456     -0.4200
            11         -0.0557     -0.2439      0.0694      0.0317      0.0497     -0.1228      0.0769     -0.1147     -0.0890
            12         -0.1207     -0.3089      0.0044     -0.0332     -0.0153     -0.1878      0.0120     -0.1796     -0.1539

                        10          11          12
            10          0.0000
            11          0.3310      0.0000
            12          0.2660     -0.0650      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9623      1.0000
             3          0.9990      0.4452      1.0000
             4          1.0000      0.7606      1.0000      1.0000
             5          0.9999      0.7300      1.0000      1.0000      1.0000
             6          1.0000      0.9992      0.9729      0.9932      0.9927      1.0000
             7          0.9990      0.5138      1.0000      1.0000      1.0000      0.9762      1.0000
             8          1.0000      0.9991      0.9831      0.9950      0.9933      1.0000      0.9832      1.0000
             9          1.0000      0.9960      0.9943      0.9996      0.9969      1.0000      0.9856      1.0000      1.0000
            10          0.3008      0.0080      0.8526      0.5536      0.6194      0.0764      0.8290      0.0769      0.0871
            11          1.0000      0.9034      1.0000      1.0000      1.0000      0.9994      1.0000      0.9995      1.0000
            12          0.9995      0.5020      1.0000      1.0000      1.0000      0.9801      1.0000      0.9898      0.9935

                        10          11          12
            10          1.0000
            11          0.3549      1.0000
            12          0.8003      1.0000      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus QUINQUEVITTATUS
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL taQUIF = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: TAQUIF   N: 168   Multiple R: 0.8997   Squared multiple R: 0.8094
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.8652    11       0.1696      1.1628      0.3188
SITE                      1.6168    11       0.1470      1.0079      0.4428
SEQ                      78.3874    11       7.1261     48.8681      0.0000
                                                                                                                                                                                                        
Error                    19.5404   134       0.1458

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.9426       0.1141      14
  TYPE$       =NZI-COT            0.9013       0.1141      14
  TYPE$       =NZI-NYL-TURQ       0.7594       0.1141      14
  TYPE$       =NZI-SUN-BIO        0.8246       0.1141      14
  TYPE$       =NZI-SUN-ECO        0.7649       0.1141      14
  TYPE$       =NZI-TNB-BIO-       0.9438       0.1141      14
  TYPE$       =NZI-TNB-FORE       0.7462       0.1141      14
  TYPE$       =NZI-TNB-IN6        0.8640       0.1141      14
  TYPE$       =NZI-TNB-NAVY       0.9298       0.1141      14
  TYPE$       =NZI-TNB-STAG       0.7758       0.1141      14
  TYPE$       =NZI-TURQ-CIB       0.7098       0.1141      14
  TYPE$       =NZI-TURQ4MG        0.5272       0.1141      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.8113       0.1141      14
  SITE        =24                 0.9782       0.1141      14
  SITE        =25                 0.8325       0.1141      14
  SITE        =26                 0.7120       0.1141      14
  SITE        =27                 0.5123       0.1141      14
  SITE        =28                 0.7155       0.1141      14
  SITE        =29                 0.8352       0.1141      14
  SITE        =30                 0.7724       0.1141      14
  SITE        =31                 0.9088       0.1141      14
  SITE        =32                 0.8844       0.1141      14
  SITE        =33                 0.8486       0.1141      14
  SITE        =34                 0.8783       0.1141      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.0000       0.1102      12
  SEQ         =2                  0.0000       0.1102      12
  SEQ         =3                  0.0293       0.1102      12
  SEQ         =4                  0.1940       0.1102      12
  SEQ         =5                  0.6736       0.1102      12
  SEQ         =6                  0.6726       0.1102      12
  SEQ         =7                  0.3623       0.0779      24
  SEQ         =8                  0.6764       0.0779      24
  SEQ         =9                  1.5371       0.1102      12
  SEQ         =10                 1.9059       0.1102      12
  SEQ         =11                 1.9132       0.1102      12
  SEQ         =12                 1.7250       0.1102      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         0.5777
First Order Autocorrelation       0.7045
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of TAQUIF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.146 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.0414      0.0000
             3         -0.1833     -0.1419      0.0000
             4         -0.1181     -0.0767      0.0652      0.0000
             5         -0.1777     -0.1364      0.0056     -0.0597      0.0000
             6          0.0011      0.0425      0.1844      0.1192      0.1789      0.0000
             7         -0.1964     -0.1550     -0.0131     -0.0783     -0.0187     -0.1975      0.0000
             8         -0.0787     -0.0373      0.1046      0.0394      0.0990     -0.0798      0.1177      0.0000
             9         -0.0128      0.0285      0.1705      0.1052      0.1649     -0.0140      0.1836      0.0659      0.0000
            10         -0.1668     -0.1255      0.0165     -0.0488      0.0109     -0.1680      0.0296     -0.0881     -0.1540
            11         -0.2328     -0.1915     -0.0495     -0.1148     -0.0551     -0.2340     -0.0364     -0.1541     -0.2200
            12         -0.4155     -0.3741     -0.2322     -0.2974     -0.2377     -0.4166     -0.2191     -0.3368     -0.4027

                        10          11          12
            10          0.0000
            11         -0.0660      0.0000
            12         -0.2487     -0.1827      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          1.0000      1.0000
             3          0.9904      0.9988      1.0000
             4          0.9999      1.0000      1.0000      1.0000
             5          0.9970      0.9997      1.0000      1.0000      1.0000
             6          1.0000      1.0000      0.9931      0.9998      0.9967      1.0000
             7          0.9899      0.9985      1.0000      1.0000      1.0000      0.9923      1.0000
             8          1.0000      1.0000      1.0000      1.0000      1.0000      1.0000      0.9999      1.0000
             9          1.0000      1.0000      0.9965      1.0000      0.9954      1.0000      0.9885      1.0000      1.0000
            10          0.9982      0.9999      1.0000      1.0000      1.0000      0.9974      1.0000      1.0000      0.9979
            11          0.9620      0.9941      1.0000      0.9998      1.0000      0.9553      1.0000      0.9979      0.9715
            12          0.3028      0.3978      0.9334      0.8555      0.9500      0.3254      0.9555      0.7190      0.2819

                        10          11          12
            10          1.0000
            11          1.0000      1.0000
            12          0.9395      0.9961      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Chrysops
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL chrysops = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: CHRYSOPS   N: 168   Multiple R: 0.7242   Squared multiple R: 0.5245
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.4825    11       0.1348      1.5236      0.1299
SITE                      2.2585    11       0.2053      2.3211      0.0122
SEQ                       7.6179    11       0.6925      7.8294      0.0000
                                                                                                                                                                                                        
Error                    11.8528   134       0.0885

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.6956       0.0889      14
  TYPE$       =NZI-COT            0.7873       0.0889      14
  TYPE$       =NZI-NYL-TURQ       0.5992       0.0889      14
  TYPE$       =NZI-SUN-BIO        0.5365       0.0889      14
  TYPE$       =NZI-SUN-ECO        0.6477       0.0889      14
  TYPE$       =NZI-TNB-BIO-       0.5395       0.0889      14
  TYPE$       =NZI-TNB-FORE       0.4184       0.0889      14
  TYPE$       =NZI-TNB-IN6        0.7677       0.0889      14
  TYPE$       =NZI-TNB-NAVY       0.6469       0.0889      14
  TYPE$       =NZI-TNB-STAG       0.5569       0.0889      14
  TYPE$       =NZI-TURQ-CIB       0.6343       0.0889      14
  TYPE$       =NZI-TURQ4MG        0.5264       0.0889      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.5913       0.0889      14
  SITE        =24                 0.5480       0.0889      14
  SITE        =25                 0.5537       0.0889      14
  SITE        =26                 0.3783       0.0889      14
  SITE        =27                 0.5044       0.0889      14
  SITE        =28                 0.6258       0.0889      14
  SITE        =29                 0.8220       0.0889      14
  SITE        =30                 0.8681       0.0889      14
  SITE        =31                 0.5265       0.0889      14
  SITE        =32                 0.5746       0.0889      14
  SITE        =33                 0.6650       0.0889      14
  SITE        =34                 0.6985       0.0889      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.6463       0.0859      12
  SEQ         =2                  0.5318       0.0859      12
  SEQ         =3                  0.8685       0.0859      12
  SEQ         =4                  0.8450       0.0859      12
  SEQ         =5                  1.0625       0.0859      12
  SEQ         =6                  0.6873       0.0859      12
  SEQ         =7                  0.5371       0.0607      24
  SEQ         =8                  0.6460       0.0607      24
  SEQ         =9                  0.4769       0.0859      12
  SEQ         =10                 0.5441       0.0859      12
  SEQ         =11                 0.1929       0.0859      12
  SEQ         =12                 0.3178       0.0859      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.3590
First Order Autocorrelation       0.3162
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of CHRYSOPS

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.088 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0917      0.0000
             3         -0.0964     -0.1881      0.0000
             4         -0.1591     -0.2509     -0.0627      0.0000
             5         -0.0479     -0.1397      0.0485      0.1112      0.0000
             6         -0.1561     -0.2478     -0.0597      0.0031     -0.1081      0.0000
             7         -0.2772     -0.3689     -0.1808     -0.1180     -0.2292     -0.1211      0.0000
             8          0.0720     -0.0197      0.1684      0.2312      0.1200      0.2281      0.3492      0.0000
             9         -0.0487     -0.1405      0.0476      0.1104     -0.0008      0.1073      0.2284     -0.1208      0.0000
            10         -0.1387     -0.2304     -0.0423      0.0204     -0.0908      0.0174      0.1385     -0.2107     -0.0899
            11         -0.0613     -0.1530      0.0351      0.0978     -0.0134      0.0948      0.2158     -0.1334     -0.0126
            12         -0.1693     -0.2610     -0.0729     -0.0101     -0.1213     -0.0132      0.1079     -0.2413     -0.1205

                        10          11          12
            10          0.0000
            11          0.0774      0.0000
            12         -0.0306     -0.1079      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9998      1.0000
             3          0.9997      0.9136      1.0000
             4          0.9839      0.7272      1.0000      1.0000
             5          1.0000      0.9966      1.0000      0.9993      1.0000
             6          0.9770      0.6580      1.0000      1.0000      0.9997      1.0000
             7          0.5827      0.1343      0.9420      0.9993      0.7612      0.9991      1.0000
             8          1.0000      1.0000      0.9781      0.7258      0.9988      0.7427      0.2764      1.0000
             9          1.0000      0.9951      1.0000      0.9994      1.0000      0.9997      0.7411      0.9991      1.0000
            10          0.9968      0.8599      1.0000      1.0000      0.9998      1.0000      0.9949      0.8832      0.9999
            11          1.0000      0.9926      1.0000      0.9996      1.0000      0.9999      0.8785      0.9946      1.0000
            12          0.9741      0.5790      1.0000      1.0000      0.9984      1.0000      0.9990      0.8155      0.9978

                        10          11          12
            10          1.0000
            11          1.0000      1.0000
            12          1.0000      0.9997      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>PRINT MEDIUM
>REM	---------------------------------------------------
>REM	All Hybomitra epistates
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL hyepif = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: HYEPIF   N: 168   Multiple R: 0.6494   Squared multiple R: 0.4217
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.7771    11       0.1616      3.7752      0.0001
SITE                      0.9172    11       0.0834      1.9485      0.0385
SEQ                       1.5233    11       0.1385      3.2361      0.0006
                                                                                                                                                                                                        
Error                     5.7343   134       0.0428

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.2548       0.0618      14
  TYPE$       =NZI-COT            0.1985       0.0618      14
  TYPE$       =NZI-NYL-TURQ       0.3602       0.0618      14
  TYPE$       =NZI-SUN-BIO        0.0291       0.0618      14
  TYPE$       =NZI-SUN-ECO       -0.0169       0.0618      14
  TYPE$       =NZI-TNB-BIO-       0.1317       0.0618      14
  TYPE$       =NZI-TNB-FORE       0.0573       0.0618      14
  TYPE$       =NZI-TNB-IN6        0.2293       0.0618      14
  TYPE$       =NZI-TNB-NAVY       0.0643       0.0618      14
  TYPE$       =NZI-TNB-STAG      -0.0254       0.0618      14
  TYPE$       =NZI-TURQ-CIB       0.2767       0.0618      14
  TYPE$       =NZI-TURQ4MG        0.2259       0.0618      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.1040       0.0618      14
  SITE        =24                 0.1057       0.0618      14
  SITE        =25                 0.1245       0.0618      14
  SITE        =26                 0.0294       0.0618      14
  SITE        =27                 0.1165       0.0618      14
  SITE        =28                -0.0084       0.0618      14
  SITE        =29                 0.1616       0.0618      14
  SITE        =30                 0.1316       0.0618      14
  SITE        =31                 0.2720       0.0618      14
  SITE        =32                 0.2322       0.0618      14
  SITE        =33                 0.3441       0.0618      14
  SITE        =34                 0.1723       0.0618      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.0644       0.0597      12
  SEQ         =2                  0.0691       0.0597      12
  SEQ         =3                  0.0544       0.0597      12
  SEQ         =4                  0.0293       0.0597      12
  SEQ         =5                  0.0899       0.0597      12
  SEQ         =6                  0.3047       0.0597      12
  SEQ         =7                  0.0921       0.0422      24
  SEQ         =8                  0.2330       0.0422      24
  SEQ         =9                  0.3096       0.0597      12
  SEQ         =10                 0.2730       0.0597      12
  SEQ         =11                 0.1419       0.0597      12
  SEQ         =12                 0.1240       0.0597      12

----------------------------------------------------------------------------------------------------------------------------------
*** WARNING ***
Case          119 is an outlier        (Studentized Residual =       3.7510)
 
Durbin-Watson D Statistic         1.4693
First Order Autocorrelation       0.2621
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYEPIF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.043 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.0563      0.0000
             3          0.1054      0.1617      0.0000
             4         -0.2257     -0.1694     -0.3311      0.0000
             5         -0.2717     -0.2154     -0.3771     -0.0460      0.0000
             6         -0.1231     -0.0668     -0.2285      0.1026      0.1486      0.0000
             7         -0.1975     -0.1412     -0.3029      0.0282      0.0743     -0.0744      0.0000
             8         -0.0255      0.0308     -0.1309      0.2002      0.2463      0.0976      0.1720      0.0000
             9         -0.1905     -0.1342     -0.2959      0.0352      0.0812     -0.0674      0.0069     -0.1651      0.0000
            10         -0.2802     -0.2239     -0.3856     -0.0545     -0.0085     -0.1571     -0.0827     -0.2548     -0.0897
            11          0.0219      0.0782     -0.0835      0.2476      0.2936      0.1450      0.2194      0.0473      0.2124
            12         -0.0289      0.0274     -0.1343      0.1968      0.2428      0.0942      0.1686     -0.0034      0.1616

                        10          11          12
            10          0.0000
            11          0.3021      0.0000
            12          0.2513     -0.0508      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9999      1.0000
             3          0.9844      0.7186      1.0000
             4          0.2984      0.7636      0.0191      1.0000
             5          0.1355      0.4641      0.0015      1.0000      1.0000
             6          0.9424      0.9997      0.2800      0.9874      0.9100      1.0000
             7          0.5441      0.9076      0.0164      1.0000      0.9993      0.9997      1.0000
             8          1.0000      1.0000      0.9505      0.3846      0.2007      0.9901      0.7929      1.0000
             9          0.6590      0.9410      0.0367      1.0000      0.9980      0.9999      1.0000      0.8316      1.0000
            10          0.1042      0.4047      0.0020      1.0000      1.0000      0.8416      0.9987      0.1415      0.9960
            11          1.0000      0.9995      0.9992      0.1066      0.0240      0.8907      0.3708      1.0000      0.3949
            12          1.0000      1.0000      0.8982      0.6148      0.1965      0.9964      0.6610      1.0000      0.7447

                        10          11          12
            10          1.0000
            11          0.0131      1.0000
            12          0.1758      1.0000      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>PRINT MEDIUM
>REM	---------------------------------------------------
>REM	Stomoxys
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL stomoxys = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: STOMOXYS   N: 168   Multiple R: 0.8530   Squared multiple R: 0.7276
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.4508    11       0.1319      2.9633      0.0015
SITE                      1.3150    11       0.1195      2.6860      0.0038
SEQ                      12.7291    11       1.1572     26.0004      0.0000
                                                                                                                                                                                                        
Error                     5.9639   134       0.0445

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.3513       0.0630      14
  TYPE$       =NZI-COT            0.4215       0.0630      14
  TYPE$       =NZI-NYL-TURQ       0.3960       0.0630      14
  TYPE$       =NZI-SUN-BIO        0.0852       0.0630      14
  TYPE$       =NZI-SUN-ECO        0.1706       0.0630      14
  TYPE$       =NZI-TNB-BIO-       0.2231       0.0630      14
  TYPE$       =NZI-TNB-FORE       0.1396       0.0630      14
  TYPE$       =NZI-TNB-IN6        0.3610       0.0630      14
  TYPE$       =NZI-TNB-NAVY       0.2524       0.0630      14
  TYPE$       =NZI-TNB-STAG       0.1862       0.0630      14
  TYPE$       =NZI-TURQ-CIB       0.1342       0.0630      14
  TYPE$       =NZI-TURQ4MG        0.1536       0.0630      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.3929       0.0630      14
  SITE        =24                 0.2889       0.0630      14
  SITE        =25                 0.2875       0.0630      14
  SITE        =26                 0.1751       0.0630      14
  SITE        =27                 0.0247       0.0630      14
  SITE        =28                 0.2230       0.0630      14
  SITE        =29                 0.3179       0.0630      14
  SITE        =30                 0.2923       0.0630      14
  SITE        =31                 0.2026       0.0630      14
  SITE        =32                 0.3181       0.0630      14
  SITE        =33                 0.1817       0.0630      14
  SITE        =34                 0.1702       0.0630      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.1913       0.0609      12
  SEQ         =2                  0.1790       0.0609      12
  SEQ         =3                  0.0147       0.0609      12
  SEQ         =4                  0.0147       0.0609      12
  SEQ         =5                  0.0753       0.0609      12
  SEQ         =6                  0.1297       0.0609      12
  SEQ         =7                  0.0367       0.0431      24
  SEQ         =8                  0.0896       0.0431      24
  SEQ         =9                  0.0753       0.0609      12
  SEQ         =10                 0.4290       0.0609      12
  SEQ         =11                 0.6465       0.0609      12
  SEQ         =12                 0.9930       0.0609      12

----------------------------------------------------------------------------------------------------------------------------------
*** WARNING ***
Case          161 is an outlier        (Studentized Residual =      -3.8686)
 
Durbin-Watson D Statistic         1.9289
First Order Autocorrelation       0.0307
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of STOMOXYS

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.045 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0702      0.0000
             3          0.0447     -0.0255      0.0000
             4         -0.2661     -0.3363     -0.3108      0.0000
             5         -0.1808     -0.2510     -0.2254      0.0854      0.0000
             6         -0.1282     -0.1984     -0.1729      0.1379      0.0526      0.0000
             7         -0.2118     -0.2820     -0.2565      0.0544     -0.0310     -0.0836      0.0000
             8          0.0096     -0.0606     -0.0350      0.2758      0.1904      0.1378      0.2214      0.0000
             9         -0.0990     -0.1691     -0.1436      0.1672      0.0818      0.0292      0.1128     -0.1086      0.0000
            10         -0.1651     -0.2353     -0.2098      0.1010      0.0156     -0.0369      0.0467     -0.1748     -0.0662
            11         -0.2172     -0.2874     -0.2619      0.0490     -0.0364     -0.0890     -0.0054     -0.2268     -0.1182
            12         -0.1977     -0.2679     -0.2424      0.0684     -0.0169     -0.0695      0.0141     -0.2074     -0.0988

                        10          11          12
            10          0.0000
            11         -0.0520      0.0000
            12         -0.0326      0.0195      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.9996      1.0000
             3          1.0000      1.0000      1.0000
             4          0.1179      0.0122      0.0484      1.0000
             5          0.7588      0.2534      0.3583      0.9985      1.0000
             6          0.9337      0.4657      0.7417      0.9061      1.0000      1.0000
             7          0.4612      0.0723      0.1105      1.0000      1.0000      0.9993      1.0000
             8          1.0000      0.9999      1.0000      0.0477      0.6323      0.8940      0.4557      1.0000
             9          0.9967      0.7877      0.9089      0.8002      0.9982      1.0000      0.9734      0.9926      1.0000
            10          0.8488      0.3556      0.5399      0.9906      1.0000      1.0000      1.0000      0.7279      0.9998
            11          0.4194      0.0996      0.2000      1.0000      1.0000      0.9979      1.0000      0.2536      0.9769
            12          0.5458      0.0763      0.1458      0.9999      1.0000      0.9998      1.0000      0.5590      0.9922

                        10          11          12
            10          1.0000
            11          1.0000      1.0000
            12          1.0000      1.0000      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>PRINT MEDIUM
>REM	---------------------------------------------------
>REM	Chyrsops frigidus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL chfrif = CONSTANT + TYPE$+ site + seq

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
         23,       24,       25,       26,       27,       28,       29,
         30,       31,       32,       33,       34
REPLICATE (7 levels)
          1,       19,       20,       21,       22,       23,       24
SEQ (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
TYPE$ (12 levels)
   NZI-AZU-PC, NZI-COT, NZI-NYL-TURQ, NZI-SUN-BIO, NZI-SUN-ECO, NZI-TNB-BIO-,
   NZI-TNB-FORE, NZI-TNB-IN6, NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TURQ-CIB,
   NZI-TURQ4MG
ODOURS$ (13 levels)
   3PP, 4MP, 4MP+3PP, COW1, COW2, COW2+OCTENOL, OCT, OCT+3PP, OCT+4MP,
   OCT+4MP+3PP, OCTENOL, TURPENTINE, UNBAIT
 
Dep Var: CHFRIF   N: 168   Multiple R: 0.7171   Squared multiple R: 0.5143
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.3839    11       0.1258      1.3639      0.1971
SITE                      2.1318    11       0.1938      2.1010      0.0242
SEQ                       7.9778    11       0.7253      7.8626      0.0000
                                                                                                                                                                                                        
Error                    12.3602   134       0.0922

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-AZU-PC         0.6931       0.0907      14
  TYPE$       =NZI-COT            0.7430       0.0907      14
  TYPE$       =NZI-NYL-TURQ       0.5545       0.0907      14
  TYPE$       =NZI-SUN-BIO        0.5371       0.0907      14
  TYPE$       =NZI-SUN-ECO        0.6135       0.0907      14
  TYPE$       =NZI-TNB-BIO-       0.5016       0.0907      14
  TYPE$       =NZI-TNB-FORE       0.4041       0.0907      14
  TYPE$       =NZI-TNB-IN6        0.7425       0.0907      14
  TYPE$       =NZI-TNB-NAVY       0.6346       0.0907      14
  TYPE$       =NZI-TNB-STAG       0.5491       0.0907      14
  TYPE$       =NZI-TURQ-CIB       0.6325       0.0907      14
  TYPE$       =NZI-TURQ4MG        0.5149       0.0907      14

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =23                 0.5850       0.0907      14
  SITE        =24                 0.5119       0.0907      14
  SITE        =25                 0.5392       0.0907      14
  SITE        =26                 0.3675       0.0907      14
  SITE        =27                 0.5181       0.0907      14
  SITE        =28                 0.5971       0.0907      14
  SITE        =29                 0.8154       0.0907      14
  SITE        =30                 0.8203       0.0907      14
  SITE        =31                 0.5188       0.0907      14
  SITE        =32                 0.5259       0.0907      14
  SITE        =33                 0.6317       0.0907      14
  SITE        =34                 0.6895       0.0907      14

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.6415       0.0877      12
  SEQ         =2                  0.4778       0.0877      12
  SEQ         =3                  0.8520       0.0877      12
  SEQ         =4                  0.8383       0.0877      12
  SEQ         =5                  1.0505       0.0877      12
  SEQ         =6                  0.6807       0.0877      12
  SEQ         =7                  0.4742       0.0620      24
  SEQ         =8                  0.6311       0.0620      24
  SEQ         =9                  0.4379       0.0877      12
  SEQ         =10                 0.5412       0.0877      12
  SEQ         =11                 0.1814       0.0877      12
  SEQ         =12                 0.3137       0.0877      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.3606
First Order Autocorrelation       0.3144
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-AZU-PC
  2  NZI-COT
  3  NZI-NYL-TURQ
  4  NZI-SUN-BIO
  5  NZI-SUN-ECO
  6  NZI-TNB-BIO-
  7  NZI-TNB-FORE
  8  NZI-TNB-IN6
  9  NZI-TNB-NAVY
 10  NZI-TNB-STAG
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of CHFRIF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.092 with 134 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0499      0.0000
             3         -0.1385     -0.1885      0.0000
             4         -0.1560     -0.2059     -0.0174      0.0000
             5         -0.0795     -0.1294      0.0590      0.0764      0.0000
             6         -0.1915     -0.2414     -0.0529     -0.0355     -0.1120      0.0000
             7         -0.2889     -0.3388     -0.1504     -0.1330     -0.2094     -0.0974      0.0000
             8          0.0495     -0.0004      0.1880      0.2054      0.1290      0.2410      0.3384      0.0000
             9         -0.0585     -0.1084      0.0801      0.0975      0.0211      0.1330      0.2305     -0.1079      0.0000
            10         -0.1440     -0.1939     -0.0054      0.0120     -0.0644      0.0475      0.1450     -0.1934     -0.0855
            11         -0.0606     -0.1105      0.0780      0.0954      0.0190      0.1309      0.2284     -0.1100     -0.0021
            12         -0.1782     -0.2281     -0.0396     -0.0222     -0.0987      0.0133      0.1107     -0.2277     -0.1197

                        10          11          12
            10          0.0000
            11          0.0834      0.0000
            12         -0.0342     -0.1176      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          1.0000      1.0000
             3          0.9937      0.9237      1.0000
             4          0.9885      0.9208      1.0000      1.0000
             5          1.0000      0.9986      1.0000      1.0000      1.0000
             6          0.9154      0.7230      1.0000      1.0000      0.9996      1.0000
             7          0.5498      0.2653      0.9876      0.9982      0.8700      0.9999      1.0000
             8          1.0000      1.0000      0.9575      0.8692      0.9981      0.6986      0.3574      1.0000
             9          1.0000      0.9996      1.0000      0.9999      1.0000      0.9982      0.7559      0.9997      1.0000
            10          0.9964      0.9606      1.0000      1.0000      1.0000      1.0000      0.9937      0.9414      0.9999
            11          1.0000      0.9997      1.0000      0.9998      1.0000      0.9974      0.8504      0.9992      1.0000
            12          0.9674      0.7907      1.0000      1.0000      0.9998      1.0000      0.9990      0.8828      0.9983

                        10          11          12
            10          1.0000
            11          0.9999      1.0000
            12          1.0000      0.9994      1.0000

----------------------------------------------------------------------------------------------------------------------------------