文章基本信息

标题：Sampling the Porridge: A Comparison of Ordered Variable Regression with F and R 2 and Multiple Linear Regression with Corrected F and R 2 in the Presence of Multicollinearity
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作者：Baird, Grayson L. ; Bieber, Stephen L.
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2019
卷号：18
期号：1
页码：11-49
DOI：10.22237/jmasm/1556668860
出版社：Wayne State University
摘要：Differences between the multiple linear regression model with Corrected R2 and Corrected F and the ordered variable regression model with R2 and F when intercorrelation is present are illustrated with simulated and real-world data.
关键词：Multicollinearity; collinearity; intercorrelation; ordered variable regression; multiple linear regression; MLR; OVR