Regression Analysis

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

Chapter 7 in A Concise Guide to Market Research, 2019, pp 209-256 from Springer

Abstract: Abstract We first provide comprehensive, but simple, access to essential regression knowledge by discussing how regression analysis works, the requirements and assumptions on which it relies, and how you can specify a regression analysis model that allows you to make critical decisions for your business, clients, or project. Each step involved in regression analysis is linked to its execution in SPSS. We show how to use a range of SPSS’s easy-to-learn statistical procedures that underlie regression analysis, which will allow you to analyze, chart, and validate regression analysis results and to assess your analysis’s robustness. Interpretation of SPSS output can be difficult, but we make this easier by means of an annotated case study. We conclude with suggestions for further readings on the use, application, and interpretation of regression analysis.

Keywords: Regression Analysis Assumptions; Heartland Region; Error Regression Model; Dependent Variable Sales; Sample Size Rule (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-3-662-56707-4_7

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