The $0$g data shows that speed $($mphl is dependent on curt weight $(0)$ price $($$$0001,$ and Horsepower for $15$ popular sports cars. The output is given below.Coefficients:Estimate Std$.$ Error t value Prosti$)($Intercept$)72\mathrm{.}8760458\mathrm{.}4072458.668.1\mathrm{.}640-86**$price$\mathrm{.}1002$s$8\mathrm{.}1044520\mathrm{.}0431472\mathrm{.}4210\mathrm{.}0323*$Curb$.$Neight..lb$..-0\mathrm{.}0006030.003147-0\mathrm{.}1920\mathrm{.}8512$Horsepower$0\mathrm{.}0863450.0136586\mathrm{.}3223\mathrm{.}826-25*$Signif$.$ codes:$0*\backslash$deg $0\mathrm{.}001****0\mathrm{.}01***0\mathrm{.}05*01**1$Residual standard error: $2\mathrm{.}583$ on $12$ degrees of FreedoMultiple R$-$squared:$0\mathrm{.}9196,$Adjusted R$-$squared: IF$-$statistic: $45\mathrm{.}76$ on $3$ and $12$ DF$,$p$-$value: $7\mathrm{.}631$c$-07$Durbin$-$Watson testdato:TinearDW $-1\mathrm{.}9266,$ p$-$value $-0\mathrm{.}4319$a Calculate Adjusted R Square.