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: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:

$\backslash$table$[[$Age $($years$),\backslash$table$[[$Maintenance$],[$Cost $($$$)]],$Age $($years$),\backslash$table$[[$Yearly$],[$Maintenance$],[$Cost $($$$)]]],[6\mathrm{.}5,1,619,6\mathrm{.}0,2,194],[5\mathrm{.}5,2,049,2\mathrm{.}5,1,163],[6\mathrm{.}5,2,033,2\mathrm{.}5,1,182],[6\mathrm{.}0,1,495,7\mathrm{.}0,1,764],[6\mathrm{.}0,1,723,8\mathrm{.}0,2,373],[6\mathrm{.}0,1,681,3\mathrm{.}0,1,978],[7\mathrm{.}0,1,890,3\mathrm{.}0,1,466],[7\mathrm{.}0,2,522,3\mathrm{.}0,1,549],[7\mathrm{.}5,1,987,,]]$

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.$)$

$Y=+x$

where $Y=Y$ Yearly maintenance cost in dollars and $x=$ Age in years.