Statnote 19: non-linear regression: fitting an exponential curve to data

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

Non-linear relationships are common in microbiological research and often necessitate the use of the statistical techniques of non-linear regression or curve fitting. In some circumstances, the investigator may wish to fit an exponential model to the data, i.e., to test the hypothesis that a quantity Y either increases or decays exponentially with increasing X. This type of model is straight forward to fit as taking logarithms of the Y variable linearises the relationship which can then be treated by the methods of linear regression.
LanguageEnglish
Pages44-45
Number of pages2
Volume2009
Specialist publicationMicrobiologist
Publication statusPublished - Dec 2009

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Keywords

  • non-linear relationships
  • microbiological research
  • statistical techniques
  • non-linear regression
  • curve fitting
  • exponential model to the data
  • linear regression

Cite this

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Statnote 19: non-linear regression: fitting an exponential curve to data. / Hilton, Anthony; Armstrong, Richard A.

In: Microbiologist, Vol. 2009, 12.2009, p. 44-45.

Research output: Contribution to specialist publicationArticle

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