Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Dynamic Residual Plots for Linear Combinations of Explanatory Variables

  • Son, Seo-Han (Department of Applied Statistics, Konkuk University)
  • Published : 2004.12.01
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Abstract

This article concerns dynamic graphical methods for visualizing a curvature in regression problem in which some predictors enter nonlinearly. A sequence of augmented partial residual plot or partial residual plot updated by the change of linear combination of two predictors are constructed. Examples demonstrate that the suggested methods can be used to reduce the dimension of explanatory variables as well as to capture a curvature.

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References

  1. Atkinson, A. C. (1985). Plots, Transformations and Regression, OXford, u.K.: Clarendon Press
  2. Berk, K. N. and Booth, D. E. (1995). Seeing a curve in multiple regression, Journal of the American Statistical Association, vol. 37, 385-398