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The Regression Output for Sales and Advertising Spend Is Shown

question 16

Multiple Choice

The regression output for sales and advertising spend is shown below. Model summary
 Model RR-square  Adjusted R-square  Std. error of  the estimate 1.445 (a)  .198.1691229.780\begin{array} { | l | l | r | r | r | } \hline \text { Model } & \boldsymbol { R } & \boldsymbol { R } \text {-square } & \begin{array} { c } \text { Adjusted } \\\boldsymbol { R } \text {-square }\end{array} & \begin{array} { r } \text { Std. error of } \\\text { the estimate }\end{array} \\\hline 1 & .445 \text { (a) } & .198 & .169 & 1229.780 \\\hline\end{array} a Predictors: (Constant) , advertising spend
ANOVA(b)
 Model  Sum of  squares  df  Mean square F Sig. 1 Regression 10448599.647110448599.6476.909.014(a)  Residual 42346067.019281512359.536 Total 52794666.66729\begin{array} { | l | l | r | r | r | r | c | } \hline \text { Model } & & \begin{array} { c } \text { Sum of } \\\text { squares }\end{array} & \text { df } & \text { Mean square } & { \boldsymbol { F } } & \text { Sig. } \\\hline 1 & \text { Regression } & 10448599.647 & 1 & 10448599.647 & 6.909 & .014 ( \mathrm { a } ) \\\hline & \text { Residual } & 42346067.019 & 28 & 1512359.536 & & \\\hline & \text { Total } & 52794666.667 & 29 & & & \\\hline\end{array} a Predictors: (Constant) , advertising spend
B Dependent variable: Sales (A$'000)
Coefficients(a)
 Model  Unstandardised  coefficients  Standardised  coefficients t Sig. B Std. Error  Beta 1 (Constant)  2993.298706.2474.238.000 Number of salespeople 42.92816.332.4452.628.014\begin{array} { | l | l | cr | r | r | r |} \hline\text { Model } & & { \begin{array} { c } \text { Unstandardised } \\\text { coefficients }\end{array} } && \begin{array} { c } \text { Standardised } \\\text { coefficients }\end{array} & { \boldsymbol { t } } & { \text { Sig. } } \\\hline & & \boldsymbol { B } & \text { Std. Error } & \text { Beta } & & \\\hline 1& \text { (Constant) } & 2993.298 & 706.247 & & 4.238 & .000 \\\hline & \text { Number of salespeople } & 42.928 & 16.332 & .445 & 2.628 & .014 \\\hline\end{array} a Dependent variable: Sales (A$'000)
The above shows that:


Definitions:

Cyberspace

A digital environment where communication over computer networks occurs.

Employee Benefits

Compensation provided to employees beyond wages, including health insurance, retirement plans, and paid time off.

Business Efficiency

Refers to the effective use of resources in order to maximize productivity and minimize waste within an organization.

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