The Results of a Multiple Regression Model to Predict the Job

Multiple Choice

The results of a multiple regression model to predict the job performance of new hires based on age, GPA and gender (female = 1 and male = 0 are shown below. At α =.05 we can conclude that The regression equation is
$\mathrm { Job }$ Performance $= - 60.8 + 4.80 \mathrm { Age } + 1.44 \mathrm { GPA } + 9.06$ Gender
$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & - 60.76 & 22.49 & - 2.70 & 0.012 \\ \text { Age } & 4.802 & 1.177 & 4.08 & 0.000 \\ \text { GPA } & 1.443 & 2.379 & 0.61 & 0.549 \\ \text { Gender } & 9.060 & 2.314 & 3.92 & 0.001 \\ \mathbf { S } = 5.56691 & \mathbf { R } - \mathrm { Sq } = & 77.7 \% \end{array}$

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 fromZero.
D) Gender is a significant variable in predicting job performance.
E) The regression coefficient associated with Age is not significantly different fromZero.