Linear regression (also called simple regression) contains only two variables: the independent variable and the dependent variable. Multiple regression contains both linear and nonlinear ...

Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model. This can adversely affect the regression results. A variance inflation ...

At times it is desirable to have independent variables in the model that are qualitative rather than quantitative. This is easily handled in a regression framework. Regression uses qualitative ...