# How do I interpret this non-significant simple moderation analysis?

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.

PROCESS Output:

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?

It simply means that there is no moderation effects taking place in your data. Only the main effects, $$X$$ and $$M$$ are related to $$Y$$ while the interaction effect $$X*M$$ is not.