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?