This question already has an answer here:
I have a very basic interaction model with this setup:
Y = $\beta_0$ + $\beta_1$ Var_1 + $\beta_2$ Var_2 + $\beta_3$ Var_1 * Var_2 + Controls + $\epsilon$
- Y = Continuous variable
- Var_1 = Continuous variable
- Var_2 = Indicator variable (i.e., 1 or 0)
In this model, $\beta_3$ is significant--but joint test of $\beta_1$ + $\beta_3$ (i.e., when Var_2 = 1) is insignificant.
How do I interpret the interaction term when the total effect isn't significant?
My post has been identified as a potential duplicate, but I don't think that this is the case because those links appear to be concerned with the interpretation of main effects when an interaction effect makes the main effects insignificant.
I'm interested in the interpretation of a significant interaction effect when the total effect (i.e., $\beta_1$ + $\beta_3$) is insignificant.