Interpret Output from Automatic Multiple Regression Model Building Procedures $0.15$ Alpha-To-Remove $0.15$

Interpret output from automatic multiple regression model building procedures.
-A sample of 22 firms was selected from the high tech industry (Industry = 1) and the
Financial services sector (Industry = 0) . Data were collected on the following variables:
Turnover rate, job growth, number of employees, and innovative index (higher scores
Indicate a more innovative and creative organizational culture) . Below are the stepwise
Regression results considering all predictor variables to explain Turnover Rate. The
Resulting multiple regression model is
Stepwise Regression: Turnover Rat versus Innovative I, Job Growth, ... Alpha-to-Enter: $0.15$ Alpha-to-Remove: $0.15$

Response is Turnover Rate on 4 predictors, with $\mathrm { N } = 22$

$\begin{array} { l r r r } \text { Step } & 1 & 2 & 3 \\ \text { Constant } & 8.603 & 8.838 & 9.841 \\ & & & \\ \text { Job Growth } & - 0.868 & - 0.574 & - 0.500 \\ \text { T-Value } & - 8.40 & - 8.58 & - 6.82 \\ \text { P-Value } & 0.000 & 0.000 & 0.000\\\\\text { Industry } && - 3.14 & - 2.70 \\ \text { T-Value } && - 7.41 & - 5.89 \\ \text { P-Value } && 0.000 & 0.000\\\\ \text { Innovative Index } &&& - 0.028 \\ \text { T-Value } & &&- 1.91 \\ \text { P-Value } &&& 0.072 \\\\ \text { S } & 1.53 & 0.796 & 0.745 \\ \mathrm { R } - \mathrm { Sq } & 77.91 & 94.32 & 95.28 \\ \mathrm { R } - \mathrm { Sq } \text { (adj) } & 76.81 & 93.73 & 94.50 \\ \text { Mallows Cp } & 67.5 & 6.0 & 4.3 \end{array}$

A) Turnover Rate = 9.841 - 6.82 Job Growth - 5.89 Industry - 1.91 Innovative Index
B) Turnover Rate = 8.838 - 0.574 Job Growth - 3.14 Industry
C) Turnover Rate = 9.841 - 0.500 Job Growth - 2.70 Industry - 0.028 Innovative Index
D) Turnover Rate = 8.838 - 8.58 Job Growth - 7.41 Industry
E) None of the above.