![]() ![]() Tip 1: Conduct A Lot of Research Before Startingīefore you begin the regression analysis, you should review the literature to develop an understanding of the relevant variables, their relationships, and the expected coefficient signs and effect magnitudes. ![]() I’ll close by showing you the difference between the modeling process that a top analyst uses versus the procedure of a less rigorous analyst. In this post, I offer five tips that will not only help you avoid common problems but also make the modeling process easier. Great power requires great responsibility! Regression analysis offers high flexibility but presents a variety of potential pitfalls. ![]() It allows you to isolate and understand the effects of individual variables, model curvature and interactions, and make predictions. Regression is a very powerful statistical analysis.
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