Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...

Beside the model, the other input into a regression analysis is some relevant sample data, consisting of the observed values of the dependent and explanatory variables for a sample of members of the ...

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...

Devan V. Mehrotra, Xiaoming Li, Jiajun Liu, Kaifeng Lu, Analysis of Longitudinal Clinical Trials with Missing Data Using Multiple Imputation in Conjunction with Robust Regression, Biometrics, Vol. 68, ...

Nonparametric statistics refer to a statistical method in which the data is not required to fit a normal distribution. Rankings should not change.