>USE "C:\science\nzi\canada\2007\farm3\reduced\farm123 tab.SYD"
SYSTAT Rectangular file C:\science\\nzi\canada\2007\farm3\reduced\farm123 tab.SYD,
created Wed Dec 26, 2007 at 19:24:14, 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
 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

>PRINT MEDIUM
>REM CALCULATE ANOVAS BY MAJOR GROUPS, SPECIES AND SEXES
>REM	---------------------------------------------------
>REM	All Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TABANIDAE = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANIDAE   N: 33   Multiple R: 0.9870   Squared multiple R: 0.9741
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.6108     5       0.1222      5.0116      0.0059
SEQ                       9.8537     5       1.9707     80.8527      0.0000
SITE                      1.4506     6       0.2418      9.9189      0.0001
                                                                                                                                                                                                        
Error                     0.3900    16       0.0244

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.7580       0.0649       6
  TYPE$       =NZI-COT-SUN-       1.7967       0.0650       6
  TYPE$       =NZI-SUN-BIO        1.9193       0.0725       6
  TYPE$       =NZI-SUN-CRY-       1.6295       0.0853       4
  TYPE$       =NZI-TNB            2.1011       0.0665       6
  TYPE$       =NZI-TNO            1.8015       0.0755       5

-------------------------------------------------------------------------------
  SEQ         =1                  1.6367       0.0665       6
  SEQ         =2                  1.4555       0.0665       6
  SEQ         =3                  0.8375       0.0665       6
  SEQ         =6                  2.4609       0.0862       4
  SEQ         =7                  2.3986       0.0742       5
  SEQ         =8                  2.2169       0.0648       6

-------------------------------------------------------------------------------
  SITE        =21                 2.2050       0.0637       6
  SITE        =22                 1.9739       0.1278       2
  SITE        =23                 1.8653       0.0765       5
  SITE        =24                 1.8937       0.0756       5
  SITE        =25                 1.6134       0.0637       6
  SITE        =26                 1.6227       0.0726       5
  SITE        =27                 1.6664       0.0834       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.7401
First Order Autocorrelation      -0.3940
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.024 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2          0.0387      0.0000
             3          0.1613      0.1226      0.0000
             4         -0.1285     -0.1672     -0.2898      0.0000
             5          0.3430      0.3043      0.1817      0.4715      0.0000
             6          0.0435      0.0048     -0.1178      0.1720     -0.2996

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          0.9980      1.0000
             3          0.6032      0.7921      1.0000
             4          0.8250      0.6451      0.1676      1.0000
             5          0.0215      0.0478      0.4225      0.0043      1.0000
             6          0.9977      1.0000      0.8508      0.6136      0.0626

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus genus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TABANUS = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANUS   N: 33   Multiple R: 0.9871   Squared multiple R: 0.9743
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.6116     5       0.1223      5.0427      0.0058
SEQ                       9.8912     5       1.9782     81.5585      0.0000
SITE                      1.4498     6       0.2416      9.9619      0.0001
                                                                                                                                                                                                        
Error                     0.3881    16       0.0243

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.7549       0.0647       6
  TYPE$       =NZI-COT-SUN-       1.7933       0.0649       6
  TYPE$       =NZI-SUN-BIO        1.9180       0.0723       6
  TYPE$       =NZI-SUN-CRY-       1.6274       0.0851       4
  TYPE$       =NZI-TNB            2.0981       0.0663       6
  TYPE$       =NZI-TNO            1.7965       0.0753       5

-------------------------------------------------------------------------------
  SEQ         =1                  1.6318       0.0663       6
  SEQ         =2                  1.4522       0.0663       6
  SEQ         =3                  0.8331       0.0663       6
  SEQ         =6                  2.4593       0.0860       4
  SEQ         =7                  2.3975       0.0740       5
  SEQ         =8                  2.2143       0.0647       6

-------------------------------------------------------------------------------
  SITE        =21                 2.2019       0.0636       6
  SITE        =22                 1.9701       0.1275       2
  SITE        =23                 1.8631       0.0763       5
  SITE        =24                 1.8905       0.0754       5
  SITE        =25                 1.6104       0.0636       6
  SITE        =26                 1.6191       0.0725       5
  SITE        =27                 1.6646       0.0832       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.7283
First Order Autocorrelation      -0.3869
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.024 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2          0.0385      0.0000
             3          0.1632      0.1247      0.0000
             4         -0.1275     -0.1659     -0.2906      0.0000
             5          0.3433      0.3048      0.1801      0.4707      0.0000
             6          0.0417      0.0032     -0.1215      0.1691     -0.3016

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          0.9980      1.0000
             3          0.5899      0.7793      1.0000
             4          0.8283      0.6498      0.1639      1.0000
             5          0.0211      0.0467      0.4293      0.0043      1.0000
             6          0.9981      1.0000      0.8334      0.6269      0.0593

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus quinquevittatus females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TAQUIF = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TAQUIF   N: 33   Multiple R: 0.9867   Squared multiple R: 0.9735
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.6377     5       0.1275      5.0026      0.0060
SEQ                      10.0267     5       2.0053     78.6541      0.0000
SITE                      1.4772     6       0.2462      9.6565      0.0001
                                                                                                                                                                                                        
Error                     0.4079    16       0.0255

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.7360       0.0664       6
  TYPE$       =NZI-COT-SUN-       1.7742       0.0665       6
  TYPE$       =NZI-SUN-BIO        1.9081       0.0741       6
  TYPE$       =NZI-SUN-CRY-       1.5959       0.0873       4
  TYPE$       =NZI-TNB            2.0796       0.0680       6
  TYPE$       =NZI-TNO            1.7746       0.0772       5

-------------------------------------------------------------------------------
  SEQ         =1                  1.6032       0.0680       6
  SEQ         =2                  1.4392       0.0680       6
  SEQ         =3                  0.8041       0.0680       6
  SEQ         =6                  2.4432       0.0882       4
  SEQ         =7                  2.3821       0.0759       5
  SEQ         =8                  2.1965       0.0663       6

-------------------------------------------------------------------------------
  SITE        =21                 2.1882       0.0652       6
  SITE        =22                 1.9485       0.1308       2
  SITE        =23                 1.8460       0.0783       5
  SITE        =24                 1.8623       0.0773       5
  SITE        =25                 1.5889       0.0652       6
  SITE        =26                 1.5989       0.0743       5
  SITE        =27                 1.6470       0.0853       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.7094
First Order Autocorrelation      -0.3758
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TAQUIF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.025 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2          0.0382      0.0000
             3          0.1722      0.1339      0.0000
             4         -0.1400     -0.1783     -0.3122      0.0000
             5          0.3436      0.3054      0.1715      0.4837      0.0000
             6          0.0386      0.0004     -0.1335      0.1787     -0.3050

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          0.9983      1.0000
             3          0.5617      0.7460      1.0000
             4          0.7855      0.6063      0.1331      1.0000
             5          0.0249      0.0537      0.5056      0.0042      1.0000
             6          0.9988      1.0000      0.7912      0.5986      0.0642

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus similis females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TAsimF = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TASIMF   N: 33   Multiple R: 0.9689   Squared multiple R: 0.9388
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1132     5       0.0226      1.7829      0.1734
SEQ                       2.1318     5       0.4264     33.5751      0.0000
SITE                      0.2486     6       0.0414      3.2627      0.0273
                                                                                                                                                                                                        
Error                     0.2032    16       0.0127

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.5784       0.0468       6
  TYPE$       =NZI-COT-SUN-       0.5582       0.0469       6
  TYPE$       =NZI-SUN-BIO        0.4949       0.0523       6
  TYPE$       =NZI-SUN-CRY-       0.4397       0.0616       4
  TYPE$       =NZI-TNB            0.6282       0.0480       6
  TYPE$       =NZI-TNO            0.4931       0.0545       5

-------------------------------------------------------------------------------
  SEQ         =1                  0.4646       0.0480       6
  SEQ         =2                  0.2218       0.0480       6
  SEQ         =3                  0.1507       0.0480       6
  SEQ         =6                  0.8392       0.0622       4
  SEQ         =7                  0.7867       0.0535       5
  SEQ         =8                  0.7293       0.0468       6

-------------------------------------------------------------------------------
  SITE        =21                 0.6849       0.0460       6
  SITE        =22                 0.6048       0.0923       2
  SITE        =23                 0.4719       0.0552       5
  SITE        =24                 0.5678       0.0545       5
  SITE        =25                 0.4901       0.0460       6
  SITE        =26                 0.4172       0.0524       5
  SITE        =27                 0.4877       0.0602       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.4270
First Order Autocorrelation      -0.2364
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TASIMF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.013 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2         -0.0202      0.0000
             3         -0.0835     -0.0633      0.0000
             4         -0.1387     -0.1185     -0.0552      0.0000
             5          0.0498      0.0700      0.1333      0.1885      0.0000
             6         -0.0853     -0.0651     -0.0018      0.0534     -0.1351

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          0.9996      1.0000
             3          0.8511      0.9373      1.0000
             4          0.4859      0.6618      0.9826      1.0000
             5          0.9743      0.8994      0.4062      0.1894      1.0000
             6          0.8435      0.9422      1.0000      0.9811      0.4160

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus lineola
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL talinf = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TALINF   N: 33   Multiple R: 0.8910   Squared multiple R: 0.7939
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0412     5       0.0082      0.5263      0.7531
SEQ                       0.5843     5       0.1169      7.4631      0.0009
SITE                      0.1855     6       0.0309      1.9738      0.1298
                                                                                                                                                                                                        
Error                     0.2506    16       0.0157

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.1872       0.0520       6
  TYPE$       =NZI-COT-SUN-       0.1927       0.0521       6
  TYPE$       =NZI-SUN-BIO        0.1022       0.0581       6
  TYPE$       =NZI-SUN-CRY-       0.1765       0.0684       4
  TYPE$       =NZI-TNB            0.1826       0.0533       6
  TYPE$       =NZI-TNO            0.1089       0.0605       5

-------------------------------------------------------------------------------
  SEQ         =1                  0.0705       0.0533       6
  SEQ         =2                  0.0051       0.0533       6
  SEQ         =3                  0.0378       0.0533       6
  SEQ         =6                  0.4638       0.0691       4
  SEQ         =7                  0.2106       0.0595       5
  SEQ         =8                  0.1625       0.0520       6

-------------------------------------------------------------------------------
  SITE        =21                 0.3071       0.0511       6
  SITE        =22                 0.1889       0.1025       2
  SITE        =23                 0.0779       0.0613       5
  SITE        =24                 0.0962       0.0606       5
  SITE        =25                 0.1586       0.0511       6
  SITE        =26                 0.1143       0.0582       5
  SITE        =27                 0.1657       0.0668       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =      -4.2811)
 
Durbin-Watson D Statistic         2.7684
First Order Autocorrelation      -0.4360
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TALINF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.016 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2          0.0055      0.0000
             3         -0.0850     -0.0905      0.0000
             4         -0.0108     -0.0163      0.0742      0.0000
             5         -0.0046     -0.0101      0.0804      0.0062      0.0000
             6         -0.0783     -0.0838      0.0067     -0.0675     -0.0737

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          1.0000      1.0000
             3          0.8903      0.8413      1.0000
             4          1.0000      1.0000      0.9606      1.0000
             5          1.0000      1.0000      0.8888      1.0000      1.0000
             6          0.9212      0.8982      1.0000      0.9669      0.9263

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus quinquevittatus males
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL taquim = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TAQUIM   N: 33   Multiple R: 0.8686   Squared multiple R: 0.7545
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0727     5       0.0145      0.5056      0.7679
SEQ                       0.8291     5       0.1658      5.7679      0.0031
SITE                      0.1955     6       0.0326      1.1332      0.3876
                                                                                                                                                                                                        
Error                     0.4600    16       0.0288

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.2035       0.0705       6
  TYPE$       =NZI-COT-SUN-       0.1870       0.0706       6
  TYPE$       =NZI-SUN-BIO        0.2451       0.0787       6
  TYPE$       =NZI-SUN-CRY-       0.1765       0.0927       4
  TYPE$       =NZI-TNB            0.3150       0.0722       6
  TYPE$       =NZI-TNO            0.1878       0.0820       5

-------------------------------------------------------------------------------
  SEQ         =1                  0.1331       0.0722       6
  SEQ         =2                  0.0231       0.0722       6
  SEQ         =3                  0.0231       0.0722       6
  SEQ         =6                  0.3350       0.0936       4
  SEQ         =7                  0.4962       0.0806       5
  SEQ         =8                  0.3046       0.0704       6

-------------------------------------------------------------------------------
  SITE        =21                 0.1024       0.0692       6
  SITE        =22                 0.3576       0.1388       2
  SITE        =23                 0.1650       0.0831       5
  SITE        =24                 0.3322       0.0821       5
  SITE        =25                 0.1635       0.0692       6
  SITE        =26                 0.1779       0.0789       5
  SITE        =27                 0.2355       0.0906       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            6 is an outlier        (Studentized Residual =       2.6695)
 
Durbin-Watson D Statistic         2.1578
First Order Autocorrelation      -0.0949
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of TAQUIM

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.029 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2         -0.0166      0.0000
             3          0.0415      0.0581      0.0000
             4         -0.0270     -0.0105     -0.0685      0.0000
             5          0.1115      0.1280      0.0700      0.1385      0.0000
             6         -0.0157      0.0008     -0.0572      0.0113     -0.1272

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          1.0000      1.0000
             3          0.9987      0.9925      1.0000
             4          0.9999      1.0000      0.9926      1.0000
             5          0.8766      0.8029      0.9814      0.8266      1.0000
             6          1.0000      1.0000      0.9947      1.0000      0.8245

                         6
             6          1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Stomoxys
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL stomoxys = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (7 levels)
         21,       22,       23,       24,       25,       26,       27
REPLICATE (2 levels)
          1,        2
SEQ (6 levels)
          1,        2,        3,        6,        7,        8
TYPE$ (6 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-CRY-, NZI-TNB, NZI-TNO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: STOMOXYS   N: 33   Multiple R: 0.9750   Squared multiple R: 0.9507
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.9421     5       0.3884     17.5668      0.0000
SEQ                       1.7780     5       0.3556     16.0820      0.0000
SITE                      4.0812     6       0.6802     30.7629      0.0000
                                                                                                                                                                                                        
Error                     0.3538    16       0.0221

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.5861       0.0618       6
  TYPE$       =NZI-COT-SUN-       0.3573       0.0620       6
  TYPE$       =NZI-SUN-BIO        0.4670       0.0690       6
  TYPE$       =NZI-SUN-CRY-       0.4442       0.0813       4
  TYPE$       =NZI-TNB            1.0352       0.0633       6
  TYPE$       =NZI-TNO            0.8970       0.0719       5

-------------------------------------------------------------------------------
  SEQ         =1                  0.6535       0.0633       6
  SEQ         =2                  0.9174       0.0633       6
  SEQ         =3                  0.6896       0.0633       6
  SEQ         =6                  0.1007       0.0821       4
  SEQ         =7                  0.5499       0.0707       5
  SEQ         =8                  0.8758       0.0618       6

-------------------------------------------------------------------------------
  SITE        =21                 1.0419       0.0607       6
  SITE        =22                 1.1137       0.1218       2
  SITE        =23                 0.8756       0.0729       5
  SITE        =24                 0.7982       0.0720       5
  SITE        =25                 0.3582       0.0607       6
  SITE        =26                 0.1748       0.0692       5
  SITE        =27                 0.0557       0.0794       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.5285
First Order Autocorrelation      -0.2844
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-CRY-
  5  NZI-TNB
  6  NZI-TNO
Using least squares means.
Post Hoc test of STOMOXYS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.022 with 16 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5
             1          0.0000
             2         -0.2288      0.0000
             3         -0.1191      0.1097      0.0000
             4         -0.1419      0.0869     -0.0228      0.0000
             5          0.4491      0.6779      0.5682      0.5910      0.0000
             6          0.3109      0.5396      0.4300      0.4528     -0.1383

                         6
             6          0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5
             1          1.0000
             2          0.1520      1.0000
             3          0.8070      0.8304      1.0000
             4          0.7238      0.9552      0.9999      1.0000
             5          0.0014      0.0000      0.0001      0.0003      1.0000
             6          0.0485      0.0005      0.0047      0.0049      0.6670

                         6
             6          1.0000

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