A Sample of 33 Companies Was Randomly Selected and Data

Multiple Choice

A sample of 33 companies was randomly selected and data collected on the average annual bonus, turnover rate (%) , and trust index (measured on a scale of 0 - 100) .
Using the output below, and a significance level of α = .01, we can conclude that Dependent Variable is Turnover Rate
$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & 12.1005 & 0.7826 & 15.46 & 0.000 \\ \text { Trust Index } & - 0.07149 & 0.01966 & - 3.64 & 0.001 \\ \text { Average Bonus } & - 0.0007216 & 0.0001481 & - 4.87 & 0.000 \end{array}$
$$S = 1.49746 \quad \mathrm { R } - \mathrm { Sq } = 79.6 \% \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 78.3 \%$$
Analysis of Variance
$\begin{array} { l r r r } \text { Source } & \text { DF } & \text { SS } & \text { MS } \\ \text { Regression } & 2 & 262.73 & 131.36 \\ \text { Residual Error } & 30 & 67.27 & 2.24 \\ \text { Total } & 32 & 330.00 & \end{array}$

A) The multiple regression model is significant overall.
B) Trust Index is a significant independent variable in explaining turnover rate.
C) Average Annual Bonus is a significant independent variable in explaining
Turnover rate.
D) The predictor Constant is a significant independent variable in explaining
Turnover rate.
E) All of these.