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a Sales Manager Was =0.48+7.42= - 0.48 + 7.42

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Use the following for questions
A sales manager was interested in determining if there is a relationship between college GPA and sales performance among salespeople hired within the last year. A sample of recently hired salespeople was selected and college GPA and the number of units sold last month recorded. Below are the scatterplot, regression results, and residual plots for these data. The regression equation is
Units Sold =0.48+7.42= - 0.48 + 7.42 GPA
 Predictor  Coef  SE Coef  T  P  Constant 0.4843.2560.150.884 GPA 7.4231.0447.110.000\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & - 0.484 & 3.256 & - 0.15 & 0.884 \\ \text { GPA } & 7.423 & 1.044 & 7.11 & 0.000 \end{array}
S=1.57429RSq=78.3%RSq(adj)=76.8%\mathrm { S } = 1.57429 \quad \mathrm { R } - \mathrm { Sq } = 78.3 \% \mathrm { \circ } \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 76.8 \%
Analysis of Variance
 Source  DF  SS  MS  F  P  Regression 1125.30125.3050.560.000 Residual Error 1434.702.48 Total 15160.00\begin{array} { l r r r r r } \text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\ \text { Regression } & 1 & 125.30 & 125.30 & 50.56 & 0.000 \\ \text { Residual Error } & 14 & 34.70 & 2.48 & & \\ \text { Total } & 15 & 160.00 & & & \end{array} Answer:  Use the following for questions  A sales manager was interested in determining if there is a relationship between college GPA and sales performance among salespeople hired within the last year. A sample of recently hired salespeople was selected and college GPA and the number of units sold last month recorded. Below are the scatterplot, regression results, and residual plots for these data. The regression equation is Units Sold  = - 0.48 + 7.42  GPA  \begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & - 0.484 & 3.256 & - 0.15 & 0.884 \\ \text { GPA } & 7.423 & 1.044 & 7.11 & 0.000 \end{array}   \mathrm { S } = 1.57429 \quad \mathrm { R } - \mathrm { Sq } = 78.3 \% \mathrm { \circ } \quad \mathrm { R } - \mathrm { Sq } ( \mathrm { adj } ) = 76.8 \%  Analysis of Variance  \begin{array} { l r r r r r } \text { Source } & \text { DF } & \text { SS } & \text { MS } & \text { F } & \text { P } \\ \text { Regression } & 1 & 125.30 & 125.30 & 50.56 & 0.000 \\ \text { Residual Error } & 14 & 34.70 & 2.48 & & \\ \text { Total } & 15 & 160.00 & & & \end{array}  Answer:   -The confidence interval and prediction interval for the number of units sold per month when GPA = 3.00 are shown below. Write a sentence to interpret each interval in this context.
-The confidence interval and prediction interval for the number of units sold per
month when GPA = 3.00 are shown below. Write a sentence to interpret each
interval in this context.


Definitions:

Voidable

A contract or transaction that is legally valid but may be declared void by one of the parties.

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Refers to a contract or clause that, due to legal deficiencies or fairness issues, cannot be compelled or enforced by law.

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An action or outcome that occurs without a deliberate plan or purpose.

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