Reporting

Another way to present the results is to use the GenStat Predict command to produce least squares estimates of means for each factor. This command becomes available within the Genstat dialog box once the model has been fitted. Note that this needs to be done for each factor one at a time; when all three factors are predicted simultaneously a 3-way table of least squares means is produced.

It is helpful to include the numbers of observations for each level of each parameter, both in this table and sometimes in the previous one too. These can be produced using the Stats → Summary Statistics → Frequency Tables... command. It can be seen from the table that the number of observations influences the magnitudes of the standard error, the larger the number of observations generally the smaller the standard errors.
Regression coefficients have also been included at the foot of the table. This is optional.

 


Parameter
Genotype
No.

Mean

S.E.


       Dorper (D)

220

11.56

0.16

       Red Maasai (R)

181

10.51

0.19

       R x D

198

11.16

0.18

       D x R

101

11.04

0.24

Year      

      1991

144

12.73

0.22

      1992

109

11.16

0.22

      1993

168

11.63

0.18

      1994

79

9.91

0.26

      1995

107

9.53

0.24

      1996

93

10.39

0.28

Sex      
      Female

323

10.84

0.12

      Male

377

11.32

0.12

    Regression coefficient

S.E.

Age at weaning (day)  

0.070

0.010

Age of dam (year)      
     Linear  

   2.19

0.25

     Quadratic  

-0.269

0.034


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