After graduation, you take a position at Top-Slice, a well-known manufacturer of golf balls. One of your duties is to forecast monthly demand for golf balls. Using the following data, you developed a regression model that expresses monthly sales as a function of average temperature for the month: Monthly sales =378.9+91.7( average temperature ) \begin{tabular}{lcc} \hline & Monthly Sales & Temperature \\ \hline March 2017 & 4,720 & 56 \\ April & 4,880 & 59 \\ May & 6,220 & 68 \\ June & 6,990 & 71 \\ July & 7,490 & 79 \\ August & 6,900 & 87 \\ September & 6,710 & 80 \\ October & 5,780 & 68 \\ November & 4,300 & 59 \\ December & 3,700 & 42 \\ January 2018 & 3,170 & 38 \\ February & 2,980 & 39 \\ \hline \end{tabular} a. Show how the a^ and b^ values of -378.9 and 91.7 were calculated. Calculate the slope coefficient, b^ (enter your responses as whole numbers). b^=12()212(746)()=91.7