A Large Pharmaceutical Company Selected a Random Sample of New $= - 60.8 + 4.80$

Multiple Choice

A large pharmaceutical company selected a random sample of new hires and
Obtained their job performance ratings based on their first six months with the company.
These data were used to build a multiple regression model to predict the job performance
Of new hires based on age, GPA and gender (female = 1 and male = 0) . The results of
The analysis are shown below. How much of the variability in Job Performance is
Explained by the regression model? The regression equation is
Job Performance $= - 60.8 + 4.80$ Age $+ 1.44$ GPA $+ 9.06$ Gender

$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & - 60.76 & 22.49 & - 2.70 & 0.012 \\ \text { Age } & 4.802 & 1.177 & 4.08 & 0.000 \\ \text { GPA } & 1.443 & 2.379 & 0.61 & 0.549 \\ \text { Gender } & 9.060 & 2.314 & 3.92 & 0.001 \end{array}$

$S = 5.56691 \quad \mathrm { R } - \mathrm { Sq } = 77.7 \%$

A) 30.33 %
B) 77.7 %
C) 5.56 %
D) 60.76 %
E) cannot be determined.