Biplots of Multivariate Data Guided by Linear and/or Logistic Regression}

Biplots of Multivariate Data Guided by Linear and/or Logistic Regression}
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초록

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.

키워드

Data visualizationbiplot graphlinear regressionlogistic regressiondimensional reduction.
제목
Biplots of Multivariate Data Guided by Linear and/or Logistic Regression}
제목 (타언어)
Biplots of Multivariate Data Guided by Linear and/or Logistic Regression}
저자
허명회이용구
발행일
2013
저널명
Communications for Statistical Applications and Methods
20
2
페이지
129 ~ 136