Statnote 24: Multiple regression

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

In previous statnotes, the application of correlation and regression methods to the analysis of two variables (X,Y) was described. These methods can be used to determine whether there is a linear relationship between the two variables, whether the relationship is positive or negative, to test the degree of significance of the linear relationship, and to obtain an equation relating Y to X. This Statnote extends the methods of linear correlation and regression to situations where there are two or more X variables, i.e., 'multiple linear regression’.
Original languageEnglish
Pages40-43
Number of pages4
Volume12
Specialist publicationMicrobiologist
Publication statusPublished - Mar 2011

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multiple regression
method
analysis
test

Keywords

  • correlation
  • regression
  • linear relationship
  • variables
  • linear correlation
  • linear regression
  • multiple linear regression

Cite this

Hilton, A., & Armstrong, R. A. (2011). Statnote 24: Multiple regression. Microbiologist, 12, 40-43.
Hilton, Anthony ; Armstrong, Richard A. / Statnote 24: Multiple regression. In: Microbiologist. 2011 ; Vol. 12. pp. 40-43.
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Hilton, A & Armstrong, RA 2011, 'Statnote 24: Multiple regression' Microbiologist, vol. 12, pp. 40-43.

Statnote 24: Multiple regression. / Hilton, Anthony; Armstrong, Richard A.

In: Microbiologist, Vol. 12, 03.2011, p. 40-43.

Research output: Contribution to specialist publicationArticle

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Hilton A, Armstrong RA. Statnote 24: Multiple regression. Microbiologist. 2011 Mar;12:40-43.