Below is Excel output from a multiple regression: $$\begin{array}{|l|r|r|r|r|r|} \hline \multicolumn{2}{|c|}{\mbox{Regression Statistics}} & & & & \\ \hline \mbox{Multiple R} & 0.6111 & & & & \\ \hline \mbox{R Square} & 0.3735 & & & & \\ \hline \mbox{Adjusted R Square} & 0.3241 & & & & \\ \hline \mbox{Standard Error} & 6.01 & & & & \\ \hline \mbox{Observations} & 42 & & & & \\ \hline & & & & & \\ \hline \mbox{ANOVA} & & & & & \\ \hline & \mbox{df} &\mbox{SS} &\mbox{MS} &\mbox{F} &\mbox{Significance F} \\ \hline \mbox{Regression} & 3 & 818 & 272.67 & 7.55 & 0.000442273\\ \hline \mbox{Residual} & 38 & 1372 & 36.11 & & \\ \hline \mbox{Total} & 41 & 2190 & & & \\ \hline & & & & & \\ \hline & \mbox{Coefficients} & \mbox{Standard Error} & \mbox{t Stat} & \mbox{P-value} & \\ \hline \mbox{Intercept} & 5.8 & 3.5 & 1.66 & 0.1051 & \\ \hline \mbox{x1} & 9.1 & 2.8 & 3.25 & 0.0024 & \\ \hline \mbox{x2} & 0.7 & 3.2 & 0.22 & 0.827 & \\ \hline \mbox{x3} & -5.6 & 2.8 & -2 & 0.0527 & \\ \hline \end{array}$$

Find the point estimate $\hat{y}$ when $x_1 = 4$, $x_2 = 5$, and $x_3 = 1$.

Point Estimate =