$22$ You decided to predict gasoline prices in different cities and towns in the Saudi Arabia for your

term project. Your dependent variable is price of gasoline per gallon and your explanatory

$(2$yariables are per capita income and the mumber of firms that manufacture automobile parts in

and around the city. You collected data of $15$ citios and obtained a regression sum of squares

$\frac{?}{\text{b}\text{a}\text{r}}(SSR)=234\mathrm{.}423.$ Your computed value of standard error of the estimate is $2\mathrm{.}16451.$ Based on

this information, what is the value of the coefficient of multiple determination?.

$(2)0\mathrm{.}8066$

$($b$)0\mathrm{.}6625$

$($c$)0\mathrm{.}4356$

$($d$)0\mathrm{.}2243$

$SE=\sqrt[\phantom{2}]{\text{M}\text{S}\text{E}}=>4\mathrm{.}6851=\frac{SSG}{n-k-1}=$

$($e$)0\mathrm{.}8841$