Ordinary Least Squares (OLS) Regression

Versatile and easy to interpret, OLS regression remains one of the most effective tools for answering “why” questions in the analyst’s repertoire.  Take customer satisfaction, for example, OLS regression enables the analyst to identify the most important factors driving satisfaction and to quantify the change in satisfaction that changes in any of the drivers is likely to entail.  OLS regression not only answers the “why” questions, but also the “how much change should I expect” questions for numerous marketing problems, generating specific tactical and strategic recommendations to meet client needs.