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LABRADOR
Obsidian | Level 7

using trt , covar as the covariate and dmi as the dependent variable, was homogeneity of slopes met?

 

*below is the text file data diet.txt

 

cow trt block covar dmi weeks
747 4 4 22.4757 24.4895 14
755 5 5 24.5157 26.7524 14
819 4 3 22.1100 25.4132 8
835 3 10 18.9529 27.6605 14
849 5 2 20.0657 17.0912 14
850 2 8 21.0600 26.4908 14
852 1 6 23.8933 27.8113 13
855 3 2 27.0329 27.0967 14
869 3 5 25.0800 25.1205 14
872 1 10 21.4414 27.7596 12
890 5 6 24.6457 23.7472 14
894 6 9 23.7971 26.0426 13
1549 4 8 21.8886 25.1794 14
3135 1 9 18.7286 21.4793 14
3164 2 2 19.5083 22.6606 12
3231 5 4 18.5886 23.0251 14
3240 2 7 19.8500 27.5362 14
3353 1 4 . 24.7224 14
3366 5 1 20.1900 24.2389 14
3372 4 9 23.5571 27.1255 14
3408 6 1 20.2600 23.9520 14
3440 1 8 19.2750 26.2302 14
3455 4 5 17.0886 24.9188 14
3460 3 9 20.4257 25.1809 14
3466 2 3 24.6114 28.0106 14
3467 4 1 14.8033 22.9552 14
3471 1 1 16.9200 24.3709 14
3478 6 3 23.4171 22.9222 14
3499 1 2 22.0329 26.2007 14
3508 3 1 27.0543 32.9527 14
3520 6 6 23.3329 27.4932 14
3527 6 4 20.9614 23.8124 14
3528 2 9 18.5557 23.3623 14
3529 5 10 20.4143 25.1781 14
3531 2 1 20.8167 24.6142 14
3542 2 6 25.7871 28.0095 14
3561 2 4 25.6457 26.9496 14
3564 5 9 23.8586 27.8948 14
3580 3 4 22.4071 24.8609 14
3586 4 2 24.5700 24.9605 14
3589 6 7 15.9386 22.3435 14
3593 1 5 21.6429 24.2462 14
3594 3 3 . 24.9867 12
3595 2 5 19.0300 28.0241 14
3596 6 5 27.1671 27.2993 14
3598 6 2 21.5667 25.4685 14
3604 4 10 20.8714 26.6923 14
3605 1 3 19.7671 28.1831 14
3611 3 6 18.5186 23.6910 14
3613 3 8 24.3829 26.6503 14
3615 5 7 22.8329 25.3444 14
3622 4 7 19.0857 22.9824 14
3623 6 10 19.0486 23.3875 14
3624 4 6 21.3286 21.6679 14
3629 3 7 18.5771 18.9699 14
3630 6 8 24.1200 26.3490 7
3643 2 10 17.6314 23.7072 14

  How do I test for homogeneity of slopes in SAS 9.4? 

1 ACCEPTED SOLUTION

Accepted Solutions
StatDave
SAS Super FREQ

This can be done as described generally in this note and in the example note that it links to. In this case, the test for the trt*covar interaction is a test of the equality of slopes - if significant, that suggests that the slopes differ. If not, then the interaction can be dropped and the covar estimate is the estimated common slope.

proc glm;
class trt;
model dmi=trt covar covar*trt / noint solution;
run; quit;

View solution in original post

2 REPLIES 2
StatDave
SAS Super FREQ

This can be done as described generally in this note and in the example note that it links to. In this case, the test for the trt*covar interaction is a test of the equality of slopes - if significant, that suggests that the slopes differ. If not, then the interaction can be dropped and the covar estimate is the estimated common slope.

proc glm;
class trt;
model dmi=trt covar covar*trt / noint solution;
run; quit;

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