Regression Analysis

Marko Sarstedt and Erik Mooi
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Marko Sarstedt: Otto-von-Guericke-Universität
Erik Mooi: University of Melbourne

Chapter 7 in A Concise Guide to Market Research, 2014, pp 193-233 from Springer

Abstract: Learning Objectives After reading this chapter, you should understand: What regression analysis is and what it can be used for. How to specify a regression analysis model. How to interpret basic regression analysis results. What the issues with, and assumptions of regression analysis are. How to validate regression analysis results. How to conduct regression analysis in SPSS. How to interpret regression analysis output produced by SPSS.

Keywords: Adjusted R2; Autocorrelation; Durbin-Watson test; Errors; F-test; Heteroskedasticity; Linearity; Moderation; (Multi)collinearity; Ordinary least squares; Outliers; Regression analysis; Residuals; R2; Sample size; Stepwise methods; Tolerance; Variance inflation factor; Weighted least squares (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-642-53965-7_7

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