Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Ching-Fan Chung, Sample Means, Sample Autocovariances, and Linear Regression of Stationary Multivariate Long Memory Processes, Econometric Theory, Vol. 18, No. 1 (Feb ...

Comparing regression coefficients between models when one model is nested within another is of great practical interest when two explanations of a given phenomenon are specified as linear models. The ...