#StackBounty: #regression #interaction #fixed-effects-model Sensible to remove interaction term in this instance, to interpret a main e…

Bounty: 50

Predictor A is a continuous predictor.

Predictor B is a dummy coded categorical predictor with three levels.

I run a regression including PA, PB and PA*PB.

The results indicate a significant effect of PB (level 3 vs. level 1) and an interaction between PA and PB (level 2 vs. level 1).

I understand that so long as the interaction is in the model, the effect of PB (level 3 vs. level 1) is only a simple effect. Does it make sense to remove the interaction between PA and PB in order to interpret the main effect of PB (level 3 vs. level 1)? Or am I stuck only being able to talk about the simple effect of PB (3 vs 1) because another level of PB is involved in an interaction?


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