
Learning Objectives
 State the regression equation
 Define "regression coefficient"
 Define "beta weight"
 Explaine what R is and how it is related to r
 Explain why a regression weight is called a "partial slope"
 Explain why the sum of squares explained in a multiple regression model is usually less than the sum of the sums of squares in simple regression
 Define R^{2} in terms of proportion explained
 Test R^{2} for significance
 Test the difference between a complete and reduced model for significance
 State the assumptions of multiple regression and specify which aspects of the analysis require assumptions
