1991•Journal of Marketing ResearchRequires access

Collinearity, Power, and Interpretation of Multiple Regression Analysis

Charlotte H. Mason, William D. Perreault

Open publisher page 1,080 citations

Abstract

Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity ...

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Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity ...

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OpenAlex reports 1080 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Multiple regression analysis is one of the most widely used statistical procedures for both scholarly and applied marketing research. Yet, correlated predictor variables—and potential collinearity ...

Key concepts: Collinearity, Statistics, Interpretation (philosophy), Regression analysis, Econometrics, Mathematics, Linear regression, Regression

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