For the situation above, give a practical interpretation of $r ^ { 2 } = .66$.
A) We estimate SALARY to increase $\$ .66$ for every 1-point increase in GMAT.
B) We can predict SALARY correctly $66 \%$ of the time using GMAT in a straight-line model.
C) We expect to predict SALARY to within $2 ( \sqrt { .66 } )$ of its true value using GMAT in a straight-line model.
D) $66 \%$ of the sample variation in SALARY can be explained by using GMAT in a straight -line model.

Question

Quizplus · Accepted Answer

$r^2 = .66$ indicates that 66% of the variance in the dependent variable (SALARY) can be explained by the independent variable (GMAT) in a linear regression model.

For the Situation Above, Give a Practical Interpretation Of r2=.66r ^ { 2 } = .66r2=.66

For the Situation Above, Give a Practical Interpretation Of $r ^ { 2 } = .66$