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利用SPSS进行主成分回归分析
引用本文:刘润幸. 利用SPSS进行主成分回归分析[J]. 中国公共卫生, 2001, 17(8): 746-748
作者姓名:刘润幸
作者单位:暨南大学医学院,
摘    要:目的:利用SPSS8.0进行主成分回归分析。方法:利用SPSS8.0的Linear Regression,Factor,Analysis,Compute Variable和Bivariate Correciations等过程,结合主成分回归分析的基本原理,介绍整个主要成分回归分析的步骤,结果:用一个实例,描述SPSS8.0各种过程的操作和主成分回归整个计算过程,并且确定“最佳”方程。结论:介绍多重共线性的各种诊断指标,主成分回归分析的优点和注意事项,利用SPSS进行主成分回归分析能达到简便,快捷和准确的统计效果。

关 键 词:多重共线性诊断 主成分回归分析 卫生统计学
文章编号:1001-0580(2001)08-0746-03
修稿时间:2000-04-24

Principal Component Regression Analysis with SPSS
LIU Run xing.Medical College of Jinan University. Principal Component Regression Analysis with SPSS[J]. Chinese Journal of Public Health, 2001, 17(8): 746-748
Authors:LIU Run xing.Medical College of Jinan University
Abstract:Objective To introduce how to do the principal component regression analysis with SPSS.Methods The analysis steps of the principal component regression by combining the Linear Regression,Factor Analysis,Compute Variable and Bivariate Correclations procedures in SPSS 8.0 for Windows with the basic principles of the principal component regression are introduced.Results An example is used to describe all operations of each procedures in SPSS8.0 and all calculating processes of principal component regression,and the "best" equation is built.Conclusions The each indexes of multicollinearity diagnosis and the advantage and the point for attention about principal component regression analysis are introduced,and the simplified,speeded up and accurate statistical effect are reached through the prinicipal component regression analysis with SPSS.
Keywords:multicollinearity diagnosis  principal component regression analysis
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