Regression Analysis

  • Marko Sarstedt
  • Erik Mooi
Part of the Springer Texts in Business and Economics book series (STBE)

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.


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 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Marko Sarstedt
    • 1
    • 2
  • Erik Mooi
    • 3
    • 4
  1. 1.Faculty of Economics and ManagementOtto-von-Guericke-UniversitätMagdeburgGermany
  2. 2.Faculty of Business and LawUniversity of NewcastleCallaghanAustralia
  3. 3.Faculty of Business and EconomicsUniversity of MelbourneParkvilleAustralia
  4. 4.Aston Business SchoolUniversity of AstonBirminghamUK

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