Moderation graph interpretation Can someone help me interpret this graph? My independent variable is GSCM, my dependent variable is EP, and the moderator variable is SCT. This relationship is significant, but I don't know how to interpret the graph.


An interaction (moderation) means that the effect of your independent variable depends on the moderator variable.  When the moderator variable is one value, the effect may be larger, but when the moderator variable is at a different value, the effect may be smaller (or reversed, etc.).
In a line graph, you would see that the lines are not parallel if there is an interaction.  When I look at your graph, I see that the lines are spread out most widely when GSCM = 1.11.  On the other hand, they are closer together when GSCM = 2.33.  They have converged (slightly).  Because the lines aren't parallel, that implies an interaction.  You state that you have tested the interaction and the test was significant.  That said, this looks like they are barely non-parallel to me.  Whether it is non-parallel enough to be 'important', I don't know.
To interpret the interaction further, it may help to plot standard errors, and to get a table of (9) means.
