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Regression Analysis

In: Multivariate Analysis

Author

Listed:
  • Klaus Backhaus

    (University of Münster)

  • Bernd Erichson

    (Otto-von-Guericke-University Magdeburg)

  • Sonja Gensler

    (University of Münster)

  • Rolf Weiber

    (University of Trier)

  • Thomas Weiber

Abstract

Regression analysis is one of the most flexible and most frequently used multivariate methods. It is employed to analyze relationships between a metrically scaled dependent variable and one or more metrically scaled independent variables. In particular, it is used to describe relationships quantitatively and to explain them. As a result, we can estimate or predict values of the dependent variable. Regression analysis is of eminent importance for science and practice.

Suggested Citation

  • Klaus Backhaus & Bernd Erichson & Sonja Gensler & Rolf Weiber & Thomas Weiber, 2021. "Regression Analysis," Springer Books, in: Multivariate Analysis, chapter 0, pages 55-146, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-32589-3_2
    DOI: 10.1007/978-3-658-32589-3_2
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