Collinearity refers to the linear relationship between two or more independent variables within a multiple regression model.
An examination of multicollinearity within multiple regression analysis, its impacts, and possible remedies.
A method in regression analysis used to address multicollinearity issues by introducing a bias to the estimator, thereby reducing variance.
