The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the$$ company's fleet of$$ over$-$the$-$road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data was$$ collected:

$$

Age$($years$)$

Yearly Maintenance Cost$($$$)$

Age$($years$)$

Yearly Maintenance Cost$($$$)$

$5\mathrm{.}5$

$619$

$7\mathrm{.}0$

$1$ comma $194$

$4\mathrm{.}5$

$1$ comma $049$

$1\mathrm{.}5$

$163$

$5\mathrm{.}5$

$1$ comma $033$

$1\mathrm{.}5$

$182$

$5\mathrm{.}0$

$495$

$7\mathrm{.}0$

$764$

$5\mathrm{.}0$

$723$

$7\mathrm{.}0$

$1$ comma $373$

$5\mathrm{.}0$

$681$

$2\mathrm{.}0$

$978$

$7\mathrm{.}0$

$890$

$2\mathrm{.}0$

$466$

$6\mathrm{.}0$

$1$ comma $522$

$2\mathrm{.}0$

$549$

$6\mathrm{.}5$

$987$

Part $2$

a$.$ Use POM for$$ Windows' least$$ squares$-$linear regression module to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor. $($Enter your responses rounded to three decimal places and include a minus sign if$$ necessary.$)$