I realize one does not need to explain this upfront as there is no statistical significance... however, in preparing for questions or arguments, and simply understanding the data- what are steps that you would go through in order to "explain" something that does not make sense on the surface.
I have a negative coefficient for a zscore'd variable and a non signigicant pvalue (.494). I would have anticipated the effect would be positive, yet maybe non significant.
Unrelated factors here but I also have the opposite happening, a positive relationship with a significant pvalue... and yet I would not have expected the positive relationship. In the next iteration of the model, adding one more variable, the relationship changes and becomes negative and non-significant.
How would we explain these things? What would be your next steps for testing your model is solid? (regression)