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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:   -List each of the four conditions for regression and inference and describe whether or not they are satisfied.
-List each of the four conditions for regression and inference and describe whether or
not they are satisfied.


Definitions:

Persuasion

The act of convincing someone to do something or to adopt a certain viewpoint.

Enthusiastic Fans

Individuals who show intense and eager enjoyment, interest, or approval towards something, such as a team, celebrity, or hobby.

Marketing

The process of exploring, creating, and delivering value to meet the needs of a target market in terms of goods, services, or information.

Legislation

Laws that have been enacted by a governing body or the process of making or enacting laws.

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