In bivariate regression analysis,the higher the Adjusted R Square value:
A)the lower the predictive power of the analysis.
B)the better the straight line's fit to the scatter points.
C)the worse the straight line's fit to the scatter points.
D)the closer to 0 it will be.
E)None of the above;there is no Adjusted R Square value in regression analysis.

Question

Quizplus · Accepted Answer

The Adjusted R Square value measures the proportion of the variation in the dependent variable that is explained by the independent variable(s) in the regression model. The higher the Adjusted R Square value, the better the straight line's fit to the scatter points, indicating more accurate predictions can be made with the model. Therefore, option B is the correct choice.

In Bivariate Regression Analysis,the Higher the Adjusted R Square Value