In stepwise regression using the Combine rule,
could you please help me understand how the F ratio for the child effect (Material B–C) is computed before it enters the model?
In my results, this value is F = 0.103779 (as shown in the screenshot).
It doesn’t seem to match the F ratio that would correspond to the larger of the two p-values mentioned in the JMP documentation —
that is, the joint probability (parent + child) and the conditional probability of the child given the parent,
which in my case would correspond to F = 0.1042.
I’d really appreciate any clarification on how JMP calculates this pre-entry F ratio under the Combine rule.
JMP PRO 17.1.0
