SAS                                              8:50 Wednesday, May 1, 1991   1
General Linear Models Procedure
Class Level Information
Class    Levels    Values
TEMP          3    65 70 75
CHAMB         9    1 2 3 4 5 6 7 8 9
SEX           2    f m
Number of observations in data set = 36
General Linear Models Procedure
Dependent Variable: SCORE   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                   11     243.97222222     22.17929293     13.42     0.0001
Error                   24      39.66666667      1.65277778
Corrected Total         35     283.63888889
                  R-Square             C.V.        Root MSE           SCORE Mean
                  0.860151         20.38843       1.2856041           6.30555556
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
TEMP                     2     158.38888889     79.19444444     47.92     0.0001
CHAMB(TEMP)              6      66.50000000     11.08333333      6.71     0.0003
SEX                      1       3.36111111      3.36111111      2.03     0.1667
TEMP*SEX                 2      15.72222222      7.86111111      4.76     0.0182
Tests of Hypotheses using the Type I MS for CHAMB(TEMP) as an error term
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
TEMP                     2     158.38888889     79.19444444      7.15     0.0259
General Linear Models Procedure
Least Squares Means
Standard Errors and Probabilities calculated using the Type I MS for 
CHAMB(TEMP) as an Error term
TEMP         SCORE       Std Err     Pr > |T|   LSMEAN
            LSMEAN        LSMEAN   H0:LSMEAN=0   Number
65      3.41666667    0.96104688        0.0120     1
70      7.16666667    0.96104688        0.0003     2
75      8.33333333    0.96104688        0.0001     3
Pr > |T| H0: LSMEAN(i)=LSMEAN(j)
   i/j     1       2       3
   1   .      0.0329  0.0111
   2  0.0329   .      0.4236
   3  0.0111  0.4236   .    
NOTE: To ensure overall protection level, only probabilities associated with 
      pre-planned comparisons should be used.
General Linear Models Procedure
Least Squares Means
SEX         SCORE       Std Err     Pr > |T|      Pr > |T| H0:
           LSMEAN        LSMEAN   H0:LSMEAN=0   LSMEAN1=LSMEAN2
f      6.61111111    0.30301978        0.0001        0.1667
m      6.00000000    0.30301978        0.0001
TEMP   SEX         SCORE       Std Err     Pr > |T|   LSMEAN
                  LSMEAN        LSMEAN   H0:LSMEAN=0   Number
65     f      2.83333333    0.52484566        0.0001     1
65     m      4.00000000    0.52484566        0.0001     2
70     f      8.16666667    0.52484566        0.0001     3
70     m      6.16666667    0.52484566        0.0001     4
75     f      8.83333333    0.52484566        0.0001     5
75     m      7.83333333    0.52484566        0.0001     6
Pr > |T| H0: LSMEAN(i)=LSMEAN(j)
   i/j     1       2       3       4       5       6
   1   .      0.1291  0.0001  0.0002  0.0001  0.0001
   2  0.1291   .      0.0001  0.0075  0.0001  0.0001
   3  0.0001  0.0001   .      0.0127  0.3780  0.6574
   4  0.0002  0.0075  0.0127   .      0.0015  0.0342
   5  0.0001  0.0001  0.3780  0.0015   .      0.1905
   6  0.0001  0.0001  0.6574  0.0342  0.1905   .    
NOTE: To ensure overall protection level, only probabilities associated with 
      pre-planned comparisons should be used.