Multiple Regression

The multiple-regression model is a general linear model with two or more independent variables. The general purpose of this multivariate regression is to find an equation that relates a single dependent variable to the independent (predictor) variables.

The default output includes:

• An auto-generated worksheet containing predicted and residual values, the regression parameters, as well as the original data
• ANOVA report for multiple regression (the GLM-based analysis of variance results), the regression parameters, and the coefficient of determination
• A summary table providing the regression parameters, the corresponding test statistic, and the lower and upper confidence limits (see the top image below)
• The partial regression ANOVA report for testing the significance of individual predictor variables in the overall regression (see the bottom image below)