A.S.C. Ehrenberg first noticed and S. Weisberg then formalized a property of pairwise regression to keep its quality almost at the same level of precision while the coefficients of the model could vary over a wide span of values. This paper generalizes the estimates of the percent change in the residual standard deviation to the case of competing multiple regressions. It shows that in contrast to the simple pairwise model, the coefficients of multiple regression can be changed over a wider range of the values including the opposite by signs coefficients. Consideration of these features facilitates better understanding the properties of regression and opens a possibility to modify the obtained regression coefficients into meaningful and interpretable values using additional criteria. Several competing modifications of the linear regression with interpretable coefficients are described and compared in the Ehrenberg-Weisberg approach.
"How Good is Best? Multivariate Case of Ehrenberg-Weisberg Analysis of Residual Errors in Competing Regressions,"
Journal of Modern Applied Statistical Methods:
2, Article 14.
Available at: http://digitalcommons.wayne.edu/jmasm/vol12/iss2/14