Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Biplots of Multivariate Data Guided by Linear and/or Logistic Regression

  • Huh, Myung-Hoe (Department of Statistics, Korea University) ;
  • Lee, Yonggoo (Department of Applied Statistics, Chung-Ang University)
  • Received : 2013.02.06
  • Accepted : 2013.03.12
  • Published : 2013.03.31
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Abstract

Linear regression is the most basic statistical model for exploring the relationship between a numerical response variable and several explanatory variables. Logistic regression secures the role of linear regression for the dichotomous response variable. In this paper, we propose a biplot-type display of the multivariate data guided by the linear regression and/or the logistic regression. The figures show the directional flow of the response variable as well as the interrelationship of explanatory variables.

Keywords

References

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Cited by

  1. SVM-Guided Biplot of Observations and Variables vol.20, pp.6, 2013, https://doi.org/10.5351/CSAM.2013.20.6.491
  2. Global and Local Views of the Hilbert Space Associated to Gaussian Kernel vol.21, pp.4, 2014, https://doi.org/10.5351/CSAM.2014.21.4.317