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Use the Following Information for Problems
to Determine What

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Use the following information for problems
To determine what affects turnover rate, a sample of 33 companies was randomly selected and data collected on the average annual bonus and turnover rate (%). In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0 - 100). Below are the multiple regression results. Dependent Variable is Turnover Rate
 Predictor  Coef  SE Coef  T  P  Constant 12.10050.782615.460.000 Trust Index 0.071490.019663.640.001 Average Bonus 0.00072160.00014814.870.000\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=1.49746RSq=79.68RSq(adj)=78.388S = 1.49746 \quad \mathrm { R } - \mathrm { Sq } = 79.68 \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 78.3 \frac { 8 } { 8 }
Analysis of Variance
 Source  DF  SS  MS  Regression 2262.73131.36 Residual Error 3067.272.24 Total 32330.00\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}
 Use the following information for problems  To determine what affects turnover rate, a sample of 33 companies was randomly selected and data collected on the average annual bonus and turnover rate (%). In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0 - 100). Below are the multiple regression results. 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 } = 79.68 \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 78.3 \frac { 8 } { 8 }  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}     -Using this model, the turnover rate for a company with a trust index score of 70 and an average annual bonus of $6500 is predicted to be 2.41%. If the company observes a turnover rate of 2.15%, what is the value of the residual for this company? What does the value of the residual tell you about the prediction?

-Using this model, the turnover rate for a company with a trust index score of 70 and
an average annual bonus of $6500 is predicted to be 2.41%. If the company observes
a turnover rate of 2.15%, what is the value of the residual for this company? What
does the value of the residual tell you about the prediction?


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