>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=1
>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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9171   Squared multiple R: 0.8411
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1603     3       0.0534      3.4184      0.0934
SEQ                       0.0681     3       0.0227      1.4515      0.3185
SITE                      0.2680     3       0.0893      5.7149      0.0342
                                                                                                                                                                                                        
Error                     0.0938     6       0.0156

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.3175       0.0625       4
  TYPE$       =NZI-COT-SUN-       2.1209       0.0625       4
  TYPE$       =NZI-SUN-BIO        2.3056       0.0625       4
  TYPE$       =NZI-SUN-ECO        2.1030       0.0625       4

-------------------------------------------------------------------------------
  SEQ         =1                  2.2124       0.0625       4
  SEQ         =2                  2.1083       0.0625       4
  SEQ         =3                  2.2403       0.0625       4
  SEQ         =4                  2.2859       0.0625       4

-------------------------------------------------------------------------------
  SITE        =21                 2.4144       0.0625       4
  SITE        =22                 2.1065       0.0625       4
  SITE        =23                 2.0919       0.0625       4
  SITE        =24                 2.2341       0.0625       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            7 is an outlier        (Studentized Residual =       4.0522)
 
Durbin-Watson D Statistic         2.5092
First Order Autocorrelation      -0.3322
>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 0.016 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1966      0.0000
             3         -0.0119      0.1847      0.0000
             4         -0.2145     -0.0179     -0.2026      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.2190      1.0000
             3          0.9990      0.2568      1.0000
             4          0.1717      0.9967      0.2018      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9011   Squared multiple R: 0.8119
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0200     3       0.0067      2.9314      0.1215
SEQ                       0.0105     3       0.0035      1.5468      0.2967
SITE                      0.0283     3       0.0094      4.1557      0.0652
                                                                                                                                                                                                        
Error                     0.0136     6       0.0023

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.0273       0.0238       4
  TYPE$       =NZI-COT-SUN-       0.0000       0.0238       4
  TYPE$       =NZI-SUN-BIO        0.0951       0.0238       4
  TYPE$       =NZI-SUN-ECO        0.0242       0.0238       4

-------------------------------------------------------------------------------
  SEQ         =1                  0.0000       0.0238       4
  SEQ         =2                  0.0273       0.0238       4
  SEQ         =3                  0.0510       0.0238       4
  SEQ         =4                  0.0683       0.0238       4

-------------------------------------------------------------------------------
  SITE        =21                 0.0440       0.0238       4
  SITE        =22                 0.0000       0.0238       4
  SITE        =23                 0.0000       0.0238       4
  SITE        =24                 0.1025       0.0238       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            7 is an outlier        (Studentized Residual =      -2.1084)
Case            9 is an outlier        (Studentized Residual =      -2.1084)
 
Durbin-Watson D Statistic         3.0058
First Order Autocorrelation      -0.5264
>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 0.002 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0273      0.0000
             3          0.0678      0.0951      0.0000
             4         -0.0031      0.0242     -0.0708      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8481      1.0000
             3          0.2816      0.1068      1.0000
             4          0.9997      0.8863      0.2532      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9864   Squared multiple R: 0.9729
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2740     3       0.0913      3.6875      0.0815
SEQ                       4.7176     3       1.5725     63.4920      0.0001
SITE                      0.3470     3       0.1157      4.6696      0.0519
                                                                                                                                                                                                        
Error                     0.1486     6       0.0248

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.1616       0.0787       4
  TYPE$       =NZI-COT-SUN-       0.8777       0.0787       4
  TYPE$       =NZI-SUN-BIO        1.1748       0.0787       4
  TYPE$       =NZI-SUN-ECO        0.9441       0.0787       4

-------------------------------------------------------------------------------
  SEQ         =1                  1.7948       0.0787       4
  SEQ         =2                  1.2859       0.0787       4
  SEQ         =3                  0.6914       0.0787       4
  SEQ         =4                  0.3860       0.0787       4

-------------------------------------------------------------------------------
  SITE        =21                 1.2609       0.0787       4
  SITE        =22                 0.8859       0.0787       4
  SITE        =23                 0.9287       0.0787       4
  SITE        =24                 1.0826       0.0787       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =       4.5878)
 
Durbin-Watson D Statistic         2.2250
First Order Autocorrelation      -0.2676
>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 0.025 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2839      0.0000
             3          0.0132      0.2971      0.0000
             4         -0.2175      0.0664     -0.2307      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.1477      1.0000
             3          0.9993      0.1280      1.0000
             4          0.3003      0.9294      0.2617      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9868   Squared multiple R: 0.9737
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2845     3       0.0948      2.9403      0.1209
SEQ                       6.5832     3       2.1944     68.0287      0.0001
SITE                      0.3071     3       0.1024      3.1730      0.1064
                                                                                                                                                                                                        
Error                     0.1935     6       0.0323

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.0043       0.0898       4
  TYPE$       =NZI-COT-SUN-       0.6879       0.0898       4
  TYPE$       =NZI-SUN-BIO        0.9859       0.0898       4
  TYPE$       =NZI-SUN-ECO        0.7891       0.0898       4

-------------------------------------------------------------------------------
  SEQ         =1                  1.7492       0.0898       4
  SEQ         =2                  1.1802       0.0898       4
  SEQ         =3                  0.4329       0.0898       4
  SEQ         =4                  0.1048       0.0898       4

-------------------------------------------------------------------------------
  SITE        =21                 1.0739       0.0898       4
  SITE        =22                 0.6945       0.0898       4
  SITE        =23                 0.8070       0.0898       4
  SITE        =24                 0.8918       0.0898       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =       4.1672)
Case           13 is an outlier        (Studentized Residual =      -2.1771)
 
Durbin-Watson D Statistic         2.1455
First Order Autocorrelation      -0.2253
>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 0.032 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.3164      0.0000
             3         -0.0184      0.2980      0.0000
             4         -0.2152      0.1011     -0.1968      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.1588      1.0000
             3          0.9988      0.1891      1.0000
             4          0.4015      0.8539      0.4676      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9748   Squared multiple R: 0.9503
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0722     3       0.0241      3.5742      0.0863
SEQ                       0.4731     3       0.1577     23.4164      0.0010
SITE                      0.2278     3       0.0759     11.2752      0.0070
                                                                                                                                                                                                        
Error                     0.0404     6       0.0067

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.5976       0.0410       4
  TYPE$       =NZI-COT-SUN-       0.4938       0.0410       4
  TYPE$       =NZI-SUN-BIO        0.6015       0.0410       4
  TYPE$       =NZI-SUN-ECO        0.4454       0.0410       4

-------------------------------------------------------------------------------
  SEQ         =1                  0.7353       0.0410       4
  SEQ         =2                  0.6212       0.0410       4
  SEQ         =3                  0.5117       0.0410       4
  SEQ         =4                  0.2701       0.0410       4

-------------------------------------------------------------------------------
  SITE        =21                 0.6421       0.0410       4
  SITE        =22                 0.5000       0.0410       4
  SITE        =23                 0.3540       0.0410       4
  SITE        =24                 0.6422       0.0410       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            6 is an outlier        (Studentized Residual =       2.3312)
 
Durbin-Watson D Statistic         2.9817
First Order Autocorrelation      -0.5169
>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 0.007 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1037      0.0000
             3          0.0039      0.1076      0.0000
             4         -0.1521     -0.0484     -0.1560      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.3626      1.0000
             3          0.9999      0.3364      1.0000
             4          0.1356      0.8369      0.1250      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9292   Squared multiple R: 0.8634
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1544     3       0.0515      2.8671      0.1260
SEQ                       0.2746     3       0.0915      5.1003      0.0434
SITE                      0.2516     3       0.0839      4.6723      0.0518
                                                                                                                                                                                                        
Error                     0.1077     6       0.0179

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.2215       0.0670       4
  TYPE$       =NZI-COT-SUN-       2.0576       0.0670       4
  TYPE$       =NZI-SUN-BIO        2.2137       0.0670       4
  TYPE$       =NZI-SUN-ECO        1.9950       0.0670       4

-------------------------------------------------------------------------------
  SEQ         =1                  1.9639       0.0670       4
  SEQ         =2                  2.0248       0.0670       4
  SEQ         =3                  2.2201       0.0670       4
  SEQ         =4                  2.2789       0.0670       4

-------------------------------------------------------------------------------
  SITE        =21                 2.3054       0.0670       4
  SITE        =22                 2.0076       0.0670       4
  SITE        =23                 2.0044       0.0670       4
  SITE        =24                 2.1702       0.0670       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            7 is an outlier        (Studentized Residual =       4.8350)
 
Durbin-Watson D Statistic         2.6489
First Order Autocorrelation      -0.3556
>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 0.018 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1639      0.0000
             3         -0.0078      0.1561      0.0000
             4         -0.2265     -0.0626     -0.2187      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.3864      1.0000
             3          0.9998      0.4221      1.0000
             4          0.1792      0.9080      0.1978      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9219   Squared multiple R: 0.8500
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1254     3       0.0418      2.1568      0.1943
SEQ                       0.2996     3       0.0999      5.1517      0.0425
SITE                      0.2339     3       0.0780      4.0227      0.0694
                                                                                                                                                                                                        
Error                     0.1163     6       0.0194

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.8912       0.0696       4
  TYPE$       =NZI-COT-SUN-       1.6652       0.0696       4
  TYPE$       =NZI-SUN-BIO        1.8423       0.0696       4
  TYPE$       =NZI-SUN-ECO        1.7356       0.0696       4

-------------------------------------------------------------------------------
  SEQ         =1                  1.9596       0.0696       4
  SEQ         =2                  1.8730       0.0696       4
  SEQ         =3                  1.6327       0.0696       4
  SEQ         =4                  1.6689       0.0696       4

-------------------------------------------------------------------------------
  SITE        =21                 1.8880       0.0696       4
  SITE        =22                 1.5973       0.0696       4
  SITE        =23                 1.7554       0.0696       4
  SITE        =24                 1.8936       0.0696       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            3 is an outlier        (Studentized Residual =      -2.3915)
 
Durbin-Watson D Statistic         2.8704
First Order Autocorrelation      -0.4755
>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 0.019 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2260      0.0000
             3         -0.0489      0.1771      0.0000
             4         -0.1557      0.0704     -0.1067      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.2009      1.0000
             3          0.9569      0.3582      1.0000
             4          0.4528      0.8878      0.7110      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9946   Squared multiple R: 0.9893
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2726     3       0.0909      5.2047      0.0416
SEQ                       9.1416     3       3.0472    174.5660      0.0000
SITE                      0.2329     3       0.0776      4.4470      0.0572
                                                                                                                                                                                                        
Error                     0.1047     6       0.0175

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.5571       0.0661       4
  TYPE$       =NZI-COT-SUN-       1.4633       0.0661       4
  TYPE$       =NZI-SUN-BIO        1.6546       0.0661       4
  TYPE$       =NZI-SUN-ECO        1.3006       0.0661       4

-------------------------------------------------------------------------------
  SEQ         =1                  0.2629       0.0661       4
  SEQ         =2                  1.4863       0.0661       4
  SEQ         =3                  2.0749       0.0661       4
  SEQ         =4                  2.1515       0.0661       4

-------------------------------------------------------------------------------
  SITE        =21                 1.6837       0.0661       4
  SITE        =22                 1.4738       0.0661       4
  SITE        =23                 1.3482       0.0661       4
  SITE        =24                 1.4698       0.0661       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            7 is an outlier        (Studentized Residual =       2.5017)
Case            8 is an outlier        (Studentized Residual =      -2.6057)
 
Durbin-Watson D Statistic         2.6119
First Order Autocorrelation      -0.3785
>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 0.017 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0938      0.0000
             3          0.0975      0.1913      0.0000
             4         -0.2566     -0.1628     -0.3541      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7534      1.0000
             3          0.7326      0.2697      1.0000
             4          0.1167      0.3812      0.0344      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.8745   Squared multiple R: 0.7648
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0811     3       0.0270      0.9059      0.4916
SEQ                       0.2994     3       0.0998      3.3426      0.0972
SITE                      0.2021     3       0.0674      2.2559      0.1823
                                                                                                                                                                                                        
Error                     0.1791     6       0.0299

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.7165       0.0864       4
  TYPE$       =NZI-COT-SUN-       0.6826       0.0864       4
  TYPE$       =NZI-SUN-BIO        0.5938       0.0864       4
  TYPE$       =NZI-SUN-ECO        0.5364       0.0864       4

-------------------------------------------------------------------------------
  SEQ         =1                  0.8241       0.0864       4
  SEQ         =2                  0.6144       0.0864       4
  SEQ         =3                  0.6518       0.0864       4
  SEQ         =4                  0.4390       0.0864       4

-------------------------------------------------------------------------------
  SITE        =21                 0.7638       0.0864       4
  SITE        =22                 0.7228       0.0864       4
  SITE        =23                 0.5364       0.0864       4
  SITE        =24                 0.5063       0.0864       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =      -3.2343)
Case            3 is an outlier        (Studentized Residual =       2.5922)
 
Durbin-Watson D Statistic         2.3148
First Order Autocorrelation      -0.1641
>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 0.030 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0339      0.0000
             3         -0.1227     -0.0888      0.0000
             4         -0.1800     -0.1461     -0.0573      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9918      1.0000
             3          0.7532      0.8831      1.0000
             4          0.5050      0.6508      0.9631      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=1
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (1 levels)
          1
SEQ (4 levels)
          1,        2,        3,        4
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: 0.9807   Squared multiple R: 0.9619
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0735     3       0.0245      3.0462      0.1140
SEQ                       0.9217     3       0.3072     38.2221      0.0003
SITE                      0.2210     3       0.0737      9.1664      0.0117
                                                                                                                                                                                                        
Error                     0.0482     6       0.0080

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.2810       0.0448       4
  TYPE$       =NZI-COT-SUN-       0.1025       0.0448       4
  TYPE$       =NZI-SUN-BIO        0.2258       0.0448       4
  TYPE$       =NZI-SUN-ECO        0.1558       0.0448       4

-------------------------------------------------------------------------------
  SEQ         =1                  0.0365       0.0448       4
  SEQ         =2                  0.0145       0.0448       4
  SEQ         =3                  0.1118       0.0448       4
  SEQ         =4                  0.6023       0.0448       4

-------------------------------------------------------------------------------
  SITE        =21                 0.3886       0.0448       4
  SITE        =22                 0.1692       0.0448       4
  SITE        =23                 0.0880       0.0448       4
  SITE        =24                 0.1193       0.0448       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            4 is an outlier        (Studentized Residual =       5.3811)
 
Durbin-Watson D Statistic         2.6469
First Order Autocorrelation      -0.3550
>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 0.008 with 6 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1784      0.0000
             3         -0.0552      0.1232      0.0000
             4         -0.1252      0.0533     -0.0700      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.1075      1.0000
             3          0.8199      0.3041      1.0000
             4          0.2936      0.8341      0.7007      1.0000

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