10. Regression

  1. Michael J. Crawley

Published Online: 6 NOV 2012

DOI: 10.1002/9781118448908.ch10

The R Book, Second Edition

The R Book, Second Edition

How to Cite

Crawley, M. J. (2012) Regression, in The R Book, Second Edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118448908.ch10

Author Information

  1. Imperial College London at Silwood Park, UK

Publication History

  1. Published Online: 6 NOV 2012
  2. Published Print: 7 DEC 2012

ISBN Information

Print ISBN: 9780470973929

Online ISBN: 9781118448908

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Keywords:

  • regression;
  • linear regression, the famous five in R;
  • polynomial approximations to elementary functions;
  • polynomial regression;
  • fitting a mechanistic model to data;
  • prediction following regression;
  • testing for lack of fit in a regression;
  • jackknife after bootstrap;
  • multiple regression, multiple regression model;
  • piecewise regression

Summary

This chapter contains sections titled:

  • Linear regression

  • Polynomial approximations to elementary functions

  • Polynomial regression

  • Fitting a mechanistic model to data

  • Linear regression after transformation

  • Prediction following regression

  • Testing for lack of fit in a regression

  • Bootstrap with regression

  • Jackknife with regression

  • Jackknife after bootstrap

  • Serial correlation in the residuals

  • Piecewise regression

  • Multiple regression