I've performed a simple moderation analysis (model 1) using PROCESS v3.5 . My Dependent Variable is Y, my Independent Variable is X, and my 'moderator' is M. All my variables are continuous.
The model summary was significant (p<.001).
The effects of X were significant (p<.05).
The effects of M were also significant (p<.001).
The interaction effect (X * M) was NON-significant (p = .472)
So I'm assuming this means that M does NOT moderate the relationship between X and Y.
I've also attached the output for the simple slopes of this analysis.
I'm really inexperienced with this type of analysis, so my question is how do I interpret this output? What do these "parallel" simple slopes imply?
Thanks in advance.