Applied regression: an introduction

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Sage Publications, Aug 1, 1980 - Mathematics - 79 pages
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Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollinearity, standardized coefficients, and dummy variables.

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Editors Introduction
Assumptions and Inferences
Multiple Regression

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About the author (1980)

Michael S. Lewis-Beck is the F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa.