Use the regression output to compute the R Square and Adjusted R Square (points A and B, respectively).
A)0.056 and 0.017.
B)0.944 and 0.942.
C)0.944 and -0.428.
D)0.06 and 0.02.

Question

Quizplus · Accepted Answer

R Square and Adjusted R Square are both measures of how well the regression model fits the data. R Square tells us the percentage of variation in the dependent variable that is explained by the independent variable(s). In this case, R Square is given as 0.944 which means that 94.4% of the variation in the dependent variable is explained by the independent variable(s). Adjusted R Square takes into account the number of independent variables in the model and penalizes the model for including irrelevant variables. It is given as 0.942 which suggests that the independent variable(s) in the model are highly relevant and the model is a good fit for the data. Therefore, the best choice is B.

Use the Regression Output to Compute the R Square and Adjusted