10. Regression

  1. Michael J. Crawley

Published Online: 14 SEP 2007

DOI: 10.1002/9780470515075.ch10

The R Book

The R Book

How to Cite

Crawley, M. J. (2007) Regression, in The R Book, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470515075.ch10

Author Information

  1. Imperial College London at Silwood Park, UK

Publication History

  1. Published Online: 14 SEP 2007
  2. Published Print: 20 APR 2007

ISBN Information

Print ISBN: 9780470510247

Online ISBN: 9780470515075

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Keywords:

  • regression analysis;
  • linear regression;
  • maximum likelihood estimates;
  • polynomial approximations to elementary functions;
  • polynomial regression;
  • prediction following regression;
  • bootstrap with regression;
  • Durbin-Watson function;
  • multiple regression model

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 with Replicated Data at Each Level of x

  • Bootstrap with Regression

  • Jackknife with regression

  • Jackknife after Bootstrap

  • Serial correlation in the residuals

  • Piecewise Regression

  • Robust Fitting of Linear Models

  • Model Simplification

  • The Multiple Regression Model