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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 visualization; biplot graph; linear regression; logistic regression; dimensional 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
- 허명회; 이용구
- 발행일
- 2013
- 권
- 20
- 호
- 2
- 페이지
- 129 ~ 136