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2 - OLS Inside Out

from Part I - Turning Regression Inside Out

Published online by Cambridge University Press:  21 March 2024

Eric W. Schoon ,
David Melamed  and
Ronald L. Breiger
Eric W. Schoon
Affiliation:
Ohio State University
David Melamed
Affiliation:
Ohio State University
Ronald L. Breiger
Affiliation:
University of Arizona
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Summary

Chapter 2 introduces the logic, basic mathematics, and some of the benefits of turning regression inside out in the context of Ordinary Least Squares (OLS) regression. We do this through an in-depth reimagining of a classic analysis of the effects of welfare state spending on poverty. The chapter introduces novel techniques for regression decomposition, data visualization, and geometric data analysis.

Keywords

Ordinary Least Squares (OLS)data visualizationgeometric data analysiswelfare states
Type
Chapter
Information
Regression Inside Out , pp. 17 - 49
Publisher: Cambridge University Press
Print publication year: 2024

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