Hi, I just conducted a Hierarchical Regression Analysis and although the interaction is significant, the β for regression line is almost Zero (Or to be more exact, -0.004586).
Since the Beta depends on the magnitude of the values of the variables being compared, a very small B could simply reflect that one of the variables is much larger than the other. I would suggest scaling all of the features in the model and seeing if you get more understandable B values. I typically use Z-score normalization: https://en.wikipedia.org/wiki/Feature_scaling#Standardization_(Z-score_Normalization)
Scaling the features also makes it possible to compare the Betas between the different features.