Building Multiple Regression Models

Cynthia Fraser
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Cynthia Fraser: University of Virginia, McIntire School of Commerce

Chapter Chapter 10 in Business Statistics for Competitive Advantage with Excel 2013, 2013, pp 245-282 from Springer

Abstract: Abstract Models are used to accomplish two complementary goals: identification of key drivers of performance and prediction of performance under alternative scenarios. The variables selected affect both the explanatory accuracy and power of models, as well as forecasting precision. In this chapter, the focus is on variable selection, the first step in the process used to build powerful and accurate multiple regression models.

Keywords: Fuel Economy; Engine Size; Motorcycle Sales; Fast Food Establishments; Heartland States (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-7381-7_10

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DOI: 10.1007/978-1-4614-7381-7_10

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