In bivariate regression analysis, the higher the Adjusted R Square value, the:
A) 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) 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 goodness-of-fit of the regression line to the scatter points, indicating how well the model fits the data. A higher Adjusted R Square value means that the model explains more variation in the data, indicating a better fit of the line to the points. Therefore, the best choice is B, which states that the higher the Adjusted R Square value, the better the straight line's fit to the scatter points.

In Bivariate Regression Analysis, the Higher the Adjusted R Square