Regression Analysis

Klaus Backhaus (), Bernd Erichson (), Sonja Gensler (), Rolf Weiber () and Thomas Weiber ()
Additional contact information
Klaus Backhaus: University of Münster
Bernd Erichson: Otto-von-Guericke-University Magdeburg
Sonja Gensler: University of Münster
Rolf Weiber: University of Trier

Chapter Chapter 2 in Multivariate Analysis, 2023, pp 55-146 from Springer

Abstract: 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.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40411-6_2

Ordering information: This item can be ordered from
http://www.springer.com/9783658404116

DOI: 10.1007/978-3-658-40411-6_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().