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Biplots of Multivariate Data Guided by Linear and/or Logistic Regression
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 Title & Authors
Biplots of Multivariate Data Guided by Linear and/or Logistic Regression
Huh, Myung-Hoe; Lee, Yonggoo;
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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
Data visualization;biplot graph;linear regression;logistic regression;dimensional reduction;
 Language
English
 Cited by
1.
SVM-Guided Biplot of Observations and Variables,;

Communications for Statistical Applications and Methods, 2013. vol.20. 6, pp.491-498 crossref(new window)
2.
Global and Local Views of the Hilbert Space Associated to Gaussian Kernel,;

Communications for Statistical Applications and Methods, 2014. vol.21. 4, pp.317-325 crossref(new window)
1.
SVM-Guided Biplot of Observations and Variables, Communications for Statistical Applications and Methods, 2013, 20, 6, 491  crossref(new windwow)
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