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

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. At = .05 we can conclude that
? The regression equation is
Job Performance $=-60.8+4.80$ Age $+1.44 \mathrm{GPA}+9.06$ Gender

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

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

A) Age is not a significant variable in predicting job performance.
B) GPA is a significant variable in predicting job performance.
C) The regression coefficient associated with GPA is significantly different from zero.
D) Gender is a significant variable in predicting job performance.
E) The regression coefficient associated with Age is not significantly different from