Added-variable plots and curvature in linear regression

R. Dennis Cook

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Added-variable plots are useful for a variety of data-analytic purposes but can be seriously misleading when used to investigate curvature and predictor transformations in linear regression, unless the predictors are independent.

Original languageEnglish (US)
Pages (from-to)275-278
Number of pages4
JournalTechnometrics
Volume38
Issue number3
DOIs
StatePublished - Aug 1996

Bibliographical note

Funding Information:
Research for this article was supported in part by National Science Foundation grants DMS 92-424 13 and DUE 93-54678.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • Component-plus-residual plots
  • Influential observations
  • Partial residual plots
  • Predictor transformations

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