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Erschienen in:
2024 | OriginalPaper | Buchkapitel
8. Building Multiple Regression Models
verfasst von : Cynthia Fraser
Erschienen in: Business Statistics for Competitive Advantage with Excel and JMP
Verlag: Springer Nature Switzerland
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Abstract
Explanatory multiple regression models are used to accomplish two complementary goals: identification of drivers of performance and prediction of performance under alternative scenarios. Multiple regression offers a major advantage over simple regression. Multiple regression accounts for the joint impact of multiple drivers, which provides a truer estimate of the impact of each one individually. Looking at just one driver, as in simple regression, its estimated impact will be much greater than it actually is. A single driver takes the credit for the joint influence of multiple drivers. For this reason, multiple regression provides a clearer picture of influence.