Hello all,
I have an independent categorical variable named "pre_score" with 6 categories (fit, mild, moderate, very mild, managing fit, very fit) and a few confounders named (age, sex, neoro).
As shown in the attached screenshot, The overall F test in the first table is significant, and the F- test corresponding to pre_score in the second table ( source table ) is not significant, however one of the categories of pre-score in the last table is significant,
I'm unsure why this happen?
I was expected as the F-test corresponding to pre_score is not significant, there shouldn’t be any significant one for any categories of pre-score in the last table, or
if there are any significant categories like my example, I would expect the corresponding F-test to be significant as well.
proc glm data=tmp PLOTS=DIAGNOSTICS ;
class pre_score neuro sex;
model diff=pre_score age neuro sex/solution ss3;
run;
any input appreciated,
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