Classroom note: A model for considering multicollinearity |
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Authors: | Stan Lipovetsky W. Michael Conklin |
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Affiliation: | GfK Custom Research Inc. 8401 Golden Valley Rd. Minneapolis MN 55427 USA lipovetsky@customresearch.com mconklin@customresearch.com |
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Abstract: | In this work a simple and convenient model is proposed for studying features of the multicollinearity effect in regression analysis. Using some reasonable approximations a multivariate regression is reduced to a kind of bivariate regression by each predictor. This approach yields some criteria for identifying the cases of evident multicollinearity, and leads to a better understanding of properties of multiple regression. |
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