Maximizing the Accuracy of Multiple Regression Models using UniODA: Regression Away From the Mean

Maximizing the Accuracy of Multiple Regression Models using UniODA: Regression Away From the Mean

Paul R. Yarnold, Ph.D., Fred B. Bryant, Ph.D., and Robert C. Soltysik, M.S.

Optimal Data Analysis, LLC and Loyola University Chicago

Standard regression models best predict values that lie near the mean. Three examples illustrate how optimization of the regression model using an established UniODA methodology greatly improves accurate prediction of extreme values.

View journal article