The Regression Output for Sales and Advertising Spend Is Shown

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

A) approximately 45 per cent of the variance in sales can be explained by advertising spend.
B) approximately 43 per cent of the variance in Sales can be explained by advertising spend.
C) approximately 14 per cent of the variance in sales can be explained by advertising spend.
D) approximately 20 per cent of the variance in sales can be explained by advertising spend.