Statnote 16: fitting a regression line to data

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

Fitting a linear regression to data provides much more information about the relationship between two variables than a simple correlation test. A goodness of fit test of the line should always be carried out. Hence, ‘r squared’ estimates the strength of the relationship between Y and X, ANOVA whether a statistically significant line is present, and the ‘t’ test whether the slope of the line is significantly different from zero. In addition, it is important to check whether the data fit the assumptions for regression analysis and, if not, whether a transformation of the Y and/or X variables is necessary.
Original languageEnglish
Pages40-42
Number of pages3
Volume2009
Specialist publicationMicrobiologist
Publication statusPublished - Mar 2009

Keywords

  • linear regression
  • data
  • correlation test

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