1. Compute the Adjusted R-Squared value for Model 1. Discuss why Adjusted R-squared and the R-squared values are different.

Model 1 Let's consider the following R output for a regression model which we will refer to as Model 1. (Note 1: In the ANOVA table, I have added 2 rows - (1) Model DF and Model SS - which is the sum of the rows corresponding to all the 4 variables (2) Total DF and Total SS - which is the sum of all the rows; Note 2: The F test corresponding to the Model denotes the overall significance test. In R output, you will see that at the bottom of the Coefficients table) ANOVA: Df Sum Sq Mean Sq F value Pr(>F) X1 X2 X3 X4 Residuals 1 1974.53 1974.53 209.8340