Statnote 17: using a regression line for prediction and calibration

Anthony Hilton, Richard A. Armstrong

Research output: Contribution to specialist publicationArticle

Abstract

Two types of prediction problem can be solved using a regression line viz., prediction of the ‘population’ regression line at the point ‘x’ and prediction of an ‘individual’ new member of the population ‘y1’ for which ‘x1’ has been measured. The second problem is probably the most commonly encountered and the most relevant to calibration studies. A regression line is likely to be most useful for calibration if the range of values of the X variable is large, if there is a good representation of the ‘x,y’ values across the range of X, and if several estimates of ‘y’ are made at each ‘x’. It is poor statistical practice to use a regression line for calibration or prediction beyond the limits of the data.
LanguageEnglish
Pages36-37
Number of pages2
Volume2009
Specialist publicationMicrobiologist
Publication statusPublished - Jun 2009

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Regression line
Calibration
Prediction
Range of data
Likely
Estimate

Keywords

  • prediction problem
  • regression line

Cite this

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Statnote 17: using a regression line for prediction and calibration. / Hilton, Anthony; Armstrong, Richard A.

In: Microbiologist, Vol. 2009, 06.2009, p. 36-37.

Research output: Contribution to specialist publicationArticle

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