>USE "C:\science\nzi\canada\2007\farm1\risk\farm1 risk.SYD"
SYSTAT Rectangular file C:\science\\nzi\canada\2007\farm1\risk\farm1 risk.SYD,
created Mon Dec 10, 2007 at 20:59:53, 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

>SELECT REPLICATE=2
>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
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANIDAE   N: 16   Multiple R: 0.9556   Squared multiple R: 0.9133
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1112     3       0.0371      3.1397      0.1083
SEQ                       0.4538     3       0.1513     12.8092      0.0051
SITE                      0.1809     3       0.0603      5.1059      0.0433
                                                                                                                                                                                                        
Error                     0.0709     6       0.0118

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.3274       0.0543       4
  TYPE$       =NZI-COT-SUN-       2.3934       0.0543       4
  TYPE$       =NZI-SUN-BIO        2.4999       0.0543       4
  TYPE$       =NZI-SUN-ECO        2.2770       0.0543       4

-------------------------------------------------------------------------------
  SEQ         =5                  2.1202       0.0543       4
  SEQ         =6                  2.5467       0.0543       4
  SEQ         =7                  2.5042       0.0543       4
  SEQ         =8                  2.3266       0.0543       4

-------------------------------------------------------------------------------
  SITE        =21                 2.5224       0.0543       4
  SITE        =22                 2.3675       0.0543       4
  SITE        =23                 2.2223       0.0543       4
  SITE        =24                 2.3855       0.0543       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           20 is an outlier        (Studentized Residual =       2.4009)
Case           26 is an outlier        (Studentized Residual =      -2.0608)
Case           27 is an outlier        (Studentized Residual =       2.2107)
 
Durbin-Watson D Statistic         2.3294
First Order Autocorrelation      -0.2502
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.012 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0660      0.0000
             3          0.1725      0.1065      0.0000
             4         -0.0504     -0.1164     -0.2229      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8257      1.0000
             3          0.2136      0.5495      1.0000
             4          0.9096      0.4847      0.0969      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Male Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL MaleTAB = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: MALETAB   N: 16   Multiple R: 0.9398   Squared multiple R: 0.8832
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0214     3       0.0071      0.3473      0.7929
SEQ                       0.4381     3       0.1460      7.1204      0.0211
SITE                      0.4712     3       0.1571      7.6581      0.0178
                                                                                                                                                                                                        
Error                     0.1231     6       0.0205

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.3189       0.0716       4
  TYPE$       =NZI-COT-SUN-       0.3130       0.0716       4
  TYPE$       =NZI-SUN-BIO        0.2954       0.0716       4
  TYPE$       =NZI-SUN-ECO        0.2271       0.0716       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.0753       0.0716       4
  SEQ         =6                  0.2007       0.0716       4
  SEQ         =7                  0.5132       0.0716       4
  SEQ         =8                  0.3651       0.0716       4

-------------------------------------------------------------------------------
  SITE        =21                 0.1149       0.0716       4
  SITE        =22                 0.2742       0.0716       4
  SITE        =23                 0.1958       0.0716       4
  SITE        =24                 0.5693       0.0716       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           17 is an outlier        (Studentized Residual =       2.4936)
Case           25 is an outlier        (Studentized Residual =      -3.0639)
 
Durbin-Watson D Statistic         2.1630
First Order Autocorrelation      -0.2524
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of MALETAB

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.021 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0059      0.0000
             3         -0.0235     -0.0176      0.0000
             4         -0.0918     -0.0859     -0.0683      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9999      1.0000
             3          0.9951      0.9979      1.0000
             4          0.8025      0.8304      0.9030      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: HYBOMITRA   N: 16   Multiple R: 0.9857   Squared multiple R: 0.9717
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0129     3       0.0043      6.1384      0.0293
SEQ                       0.1141     3       0.0380     54.2851      0.0001
SITE                      0.0172     3       0.0057      8.1801      0.0153
                                                                                                                                                                                                        
Error                     0.0042     6       0.0007

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.1182       0.0132       4
  TYPE$       =NZI-COT-SUN-       0.1388       0.0132       4
  TYPE$       =NZI-SUN-BIO        0.0898       0.0132       4
  TYPE$       =NZI-SUN-ECO        0.0638       0.0132       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.1896       0.0132       4
  SEQ         =6                  0.0000       0.0132       4
  SEQ         =7                  0.0387       0.0132       4
  SEQ         =8                  0.1823       0.0132       4

-------------------------------------------------------------------------------
  SITE        =21                 0.0753       0.0132       4
  SITE        =22                 0.1570       0.0132       4
  SITE        =23                 0.1001       0.0132       4
  SITE        =24                 0.0783       0.0132       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           18 is an outlier        (Studentized Residual =      -2.0597)
Case           25 is an outlier        (Studentized Residual =      -2.0597)
 
Durbin-Watson D Statistic         2.5368
First Order Autocorrelation      -0.3418
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of HYBOMITRA

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.001 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0206      0.0000
             3         -0.0285     -0.0491      0.0000
             4         -0.0544     -0.0750     -0.0259      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7027      1.0000
             3          0.4812      0.1357      1.0000
             4          0.0961      0.0271      0.5499      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra lasiophthalma Females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HYLASF = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: HYLASF   N: 16   Multiple R: 0.9199   Squared multiple R: 0.8462
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0012     3       0.0004      1.0000      0.4547
SEQ                       0.0106     3       0.0035      9.0000      0.0122
SITE                      0.0012     3       0.0004      1.0000      0.4547
                                                                                                                                                                                                        
Error                     0.0024     6       0.0004

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.0198       0.0099       4
  TYPE$       =NZI-COT-SUN-       0.0198       0.0099       4
  TYPE$       =NZI-SUN-BIO        0.0000       0.0099       4
  TYPE$       =NZI-SUN-ECO        0.0198       0.0099       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.0594       0.0099       4
  SEQ         =6                  0.0000       0.0099       4
  SEQ         =7                  0.0000       0.0099       4
  SEQ         =8                  0.0000       0.0099       4

-------------------------------------------------------------------------------
  SITE        =21                 0.0198       0.0099       4
  SITE        =22                 0.0000       0.0099       4
  SITE        =23                 0.0198       0.0099       4
  SITE        =24                 0.0198       0.0099       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           18 is an outlier        (Studentized Residual = -3.77712E+07)
 
Durbin-Watson D Statistic         2.5000
First Order Autocorrelation      -0.2917
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of HYLASF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.000 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0000      0.0000
             3         -0.0198     -0.0198      0.0000
             4          0.0000      0.0000      0.0198      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          1.0000      1.0000
             3          0.5351      0.5351      1.0000
             4          1.0000      1.0000      0.5351      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra frontalis
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HYFROF = CONSTANT + TYPE$+ Seq + Site

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: HYFROF   N: 16   Multiple R: 0.9834   Squared multiple R: 0.9670
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0065     3       0.0022      3.4558      0.0917
SEQ                       0.0967     3       0.0322     51.0355      0.0001
SITE                      0.0079     3       0.0026      4.1871      0.0643
                                                                                                                                                                                                        
Error                     0.0038     6       0.0006

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.1037       0.0126       4
  TYPE$       =NZI-COT-SUN-       0.0689       0.0126       4
  TYPE$       =NZI-SUN-BIO        0.0753       0.0126       4
  TYPE$       =NZI-SUN-ECO        0.0471       0.0126       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.1127       0.0126       4
  SEQ         =6                  0.0000       0.0126       4
  SEQ         =7                  0.0000       0.0126       4
  SEQ         =8                  0.1823       0.0126       4

-------------------------------------------------------------------------------
  SITE        =21                 0.0585       0.0126       4
  SITE        =22                 0.1037       0.0126       4
  SITE        =23                 0.0856       0.0126       4
  SITE        =24                 0.0471       0.0126       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           30 is an outlier        (Studentized Residual =       2.2165)
 
Durbin-Watson D Statistic         2.0042
First Order Autocorrelation      -0.0633
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of HYFROF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.001 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0349      0.0000
             3         -0.0285      0.0064      0.0000
             4         -0.0567     -0.0218     -0.0282      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.2976      1.0000
             3          0.4427      0.9826      1.0000
             4          0.0688      0.6346      0.4508      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANUS   N: 16   Multiple R: 0.9550   Squared multiple R: 0.9121
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1128     3       0.0376      3.0726      0.1124
SEQ                       0.4661     3       0.1554     12.6963      0.0052
SITE                      0.1829     3       0.0610      4.9821      0.0455
                                                                                                                                                                                                        
Error                     0.0734     6       0.0122

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.3234       0.0553       4
  TYPE$       =NZI-COT-SUN-       2.3908       0.0553       4
  TYPE$       =NZI-SUN-BIO        2.4979       0.0553       4
  TYPE$       =NZI-SUN-ECO        2.2739       0.0553       4

-------------------------------------------------------------------------------
  SEQ         =5                  2.1131       0.0553       4
  SEQ         =6                  2.5456       0.0553       4
  SEQ         =7                  2.5029       0.0553       4
  SEQ         =8                  2.3244       0.0553       4

-------------------------------------------------------------------------------
  SITE        =21                 2.5197       0.0553       4
  SITE        =22                 2.3643       0.0553       4
  SITE        =23                 2.2181       0.0553       4
  SITE        =24                 2.3839       0.0553       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           20 is an outlier        (Studentized Residual =       2.4194)
Case           26 is an outlier        (Studentized Residual =      -2.0646)
Case           27 is an outlier        (Studentized Residual =       2.2190)
 
Durbin-Watson D Statistic         2.3480
First Order Autocorrelation      -0.2588
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.012 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0673      0.0000
             3          0.1745      0.1072      0.0000
             4         -0.0496     -0.1169     -0.2241      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8245      1.0000
             3          0.2171      0.5581      1.0000
             4          0.9174      0.4945      0.1012      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TASIMF   N: 16   Multiple R: 0.9634   Squared multiple R: 0.9281
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2367     3       0.0789      7.6864      0.0177
SEQ                       0.3706     3       0.1235     12.0318      0.0060
SITE                      0.1884     3       0.0628      6.1164      0.0295
                                                                                                                                                                                                        
Error                     0.0616     6       0.0103

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.0094       0.0507       4
  TYPE$       =NZI-COT-SUN-       0.9507       0.0507       4
  TYPE$       =NZI-SUN-BIO        0.8699       0.0507       4
  TYPE$       =NZI-SUN-ECO        0.6867       0.0507       4

-------------------------------------------------------------------------------
  SEQ         =5                  1.1390       0.0507       4
  SEQ         =6                  0.8033       0.0507       4
  SEQ         =7                  0.8219       0.0507       4
  SEQ         =8                  0.7524       0.0507       4

-------------------------------------------------------------------------------
  SITE        =21                 1.0310       0.0507       4
  SITE        =22                 0.8743       0.0507       4
  SITE        =23                 0.7244       0.0507       4
  SITE        =24                 0.8869       0.0507       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           20 is an outlier        (Studentized Residual =       2.6513)
Case           32 is an outlier        (Studentized Residual =      -2.4257)
 
Durbin-Watson D Statistic         1.8729
First Order Autocorrelation      -0.0518
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TASIMF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.010 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0587      0.0000
             3         -0.1395     -0.0808      0.0000
             4         -0.3227     -0.2639     -0.1831      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8435      1.0000
             3          0.3028      0.6877      1.0000
             4          0.0160      0.0388      0.1469      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TAQUIF   N: 16   Multiple R: 0.9580   Squared multiple R: 0.9177
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1211     3       0.0404      3.0945      0.1110
SEQ                       0.5575     3       0.1858     14.2486      0.0039
SITE                      0.1938     3       0.0646      4.9532      0.0461
                                                                                                                                                                                                        
Error                     0.0783     6       0.0130

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.2890       0.0571       4
  TYPE$       =NZI-COT-SUN-       2.3655       0.0571       4
  TYPE$       =NZI-SUN-BIO        2.4836       0.0571       4
  TYPE$       =NZI-SUN-ECO        2.2580       0.0571       4

-------------------------------------------------------------------------------
  SEQ         =5                  2.0605       0.0571       4
  SEQ         =6                  2.5355       0.0571       4
  SEQ         =7                  2.4898       0.0571       4
  SEQ         =8                  2.3104       0.0571       4

-------------------------------------------------------------------------------
  SITE        =21                 2.5009       0.0571       4
  SITE        =22                 2.3468       0.0571       4
  SITE        =23                 2.1900       0.0571       4
  SITE        =24                 2.3585       0.0571       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           20 is an outlier        (Studentized Residual =       2.2497)
Case           26 is an outlier        (Studentized Residual =      -2.1037)
Case           27 is an outlier        (Studentized Residual =       2.2573)
 
Durbin-Watson D Statistic         2.5011
First Order Autocorrelation      -0.3315
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TAQUIF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.013 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0765      0.0000
             3          0.1946      0.1181      0.0000
             4         -0.0310     -0.1075     -0.2256      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7822      1.0000
             3          0.1752      0.5107      1.0000
             4          0.9790      0.5782      0.1102      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TALINF   N: 16   Multiple R: 0.9690   Squared multiple R: 0.9391
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2670     3       0.0890     12.0288      0.0060
SEQ                       0.0794     3       0.0265      3.5767      0.0862
SITE                      0.3377     3       0.1126     15.2116      0.0033
                                                                                                                                                                                                        
Error                     0.0444     6       0.0074

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.3230       0.0430       4
  TYPE$       =NZI-COT-SUN-       0.3910       0.0430       4
  TYPE$       =NZI-SUN-BIO        0.1118       0.0430       4
  TYPE$       =NZI-SUN-ECO        0.0951       0.0430       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.2239       0.0430       4
  SEQ         =6                  0.3441       0.0430       4
  SEQ         =7                  0.1996       0.0430       4
  SEQ         =8                  0.1533       0.0430       4

-------------------------------------------------------------------------------
  SITE        =21                 0.4609       0.0430       4
  SITE        =22                 0.1609       0.0430       4
  SITE        =23                 0.0678       0.0430       4
  SITE        =24                 0.2313       0.0430       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           27 is an outlier        (Studentized Residual =       2.6121)
Case           31 is an outlier        (Studentized Residual =      -2.3607)
 
Durbin-Watson D Statistic         2.8341
First Order Autocorrelation      -0.4803
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TALINF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.007 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0680      0.0000
             3         -0.2112     -0.2792      0.0000
             4         -0.2280     -0.2960     -0.0167      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.6930      1.0000
             3          0.0494      0.0146      1.0000
             4          0.0361      0.0111      0.9920      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: CHRYSOPS   N: 16   Multiple R: 0.8342   Squared multiple R: 0.6959
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0074     3       0.0025      0.2057      0.8889
SEQ                       0.1066     3       0.0355      2.9603      0.1196
SITE                      0.0508     3       0.0169      1.4101      0.3287
                                                                                                                                                                                                        
Error                     0.0720     6       0.0120

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.2551       0.0548       4
  TYPE$       =NZI-COT-SUN-       0.2779       0.0548       4
  TYPE$       =NZI-SUN-BIO        0.2208       0.0548       4
  TYPE$       =NZI-SUN-ECO        0.2676       0.0548       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.3667       0.0548       4
  SEQ         =6                  0.2812       0.0548       4
  SEQ         =7                  0.2324       0.0548       4
  SEQ         =8                  0.1410       0.0548       4

-------------------------------------------------------------------------------
  SITE        =21                 0.2913       0.0548       4
  SITE        =22                 0.3203       0.0548       4
  SITE        =23                 0.2372       0.0548       4
  SITE        =24                 0.1725       0.0548       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           27 is an outlier        (Studentized Residual =      -2.2803)
 
Durbin-Watson D Statistic         1.6155
First Order Autocorrelation       0.0862
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of CHRYSOPS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.012 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0229      0.0000
             3         -0.0343     -0.0571      0.0000
             4          0.0125     -0.0103      0.0468      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9902      1.0000
             3          0.9688      0.8789      1.0000
             4          0.9983      0.9991      0.9273      1.0000

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

>ESTIMATE
Data for the following results were selected according to:
      REPLICATE=2
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          2
SEQ (4 levels)
          5,        6,        7,        8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: STOMOXYS   N: 16   Multiple R: 0.9885   Squared multiple R: 0.9771
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1418     3       0.0473      6.6759      0.0244
SEQ                       1.4531     3       0.4844     68.3958      0.0000
SITE                      0.2157     3       0.0719     10.1514      0.0091
                                                                                                                                                                                                        
Error                     0.0425     6       0.0071

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.6889       0.0421       4
  TYPE$       =NZI-COT-SUN-       0.4594       0.0421       4
  TYPE$       =NZI-SUN-BIO        0.6873       0.0421       4
  TYPE$       =NZI-SUN-ECO        0.5839       0.0421       4

-------------------------------------------------------------------------------
  SEQ         =5                  0.3846       0.0421       4
  SEQ         =6                  0.2759       0.0421       4
  SEQ         =7                  0.7124       0.0421       4
  SEQ         =8                  1.0465       0.0421       4

-------------------------------------------------------------------------------
  SITE        =21                 0.6328       0.0421       4
  SITE        =22                 0.7816       0.0421       4
  SITE        =23                 0.5247       0.0421       4
  SITE        =24                 0.4804       0.0421       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           19 is an outlier        (Studentized Residual =       2.2069)
Case           26 is an outlier        (Studentized Residual =       3.0212)
 
Durbin-Watson D Statistic         2.9768
First Order Autocorrelation      -0.5020
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of STOMOXYS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.007 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2295      0.0000
             3         -0.0016      0.2279      0.0000
             4         -0.1050      0.1245     -0.1035      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.0320      1.0000
             3          1.0000      0.0329      1.0000
             4          0.3720      0.2561      0.3829      1.0000

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