A Geometric Approach to Compare Variables in a Regression Model

作者：Johan Bring · 发表于：The American Statistician · 年份：1996 · DOI：10.1080/00031305.1996.10473543 · 被引用次数：66 · 研究领域：Advanced Statistical Methods and Models、Spectroscopy and Chemometric Analyses

Geometry is a very useful tool for illustrating regression analysis. Despite its merits the geometric approach is seldom used. One reason for this might be that there are very few applications at an elementary level. This article gives a brief introduction to the geometric approach in regression analysis, and then geometry is used to shed some light on the problem of comparing the “importance” of the independent variables in a multiple regression model. Even though no final answer of how to assess variable importance is given, it is still useful to illustrate the different measures geometrically to gain a better understanding of their properties.