Please answer parts A B and C! no extra information needed thank you!

\begin{tabular}{lcc} \hline & & \\ \hline March 2017 & 4,620 & Temperature \\ \hline April & 2,870 & 47 \\ May & 6,310 & 61 \\ June & 7,000 & 63 \\ July & 7,600 & 77 \\ August & 7,330 & 82 \\ September & 6,050 & 81 \\ October & 5,630 & 74 \\ November & 5,320 & 60 \\ December & 4,660 & 51 \\ January 2018 & 3,200 & 46 \\ February & 2,560 & 40 \\ \hline \end{tabular} Aler graduation, you take a position at Top-5ico, a well-knowh manufacturer of golf balls. One of your duties is to forecast monthly demand for golf bells. Using the following data, you developed a regression model that expresses monthly saies as a function of average temperature for the month: Monthlysales=395.2+93.6(averagetemperature) Click the icon to view the addinional data. a. Show how the at and bu values of 385.2 and 93.6 were calculated. Calculate the silope coelficient, b (enter your reaponses as whole numbers). 6)=12()212(724)93.6 Caiculate the intercept term, a^ (enter your responses rounded to one decimal place). a^=93.63=385.2 b. Use the regression forecasting model to forecast total golt ball sabes for June and July 2018 . Average temperatures are expected to be 77 degrees in June and 83 degrees in July The forecast of lotal goif ball sales for June 2018 is (Enter your response rounded to the noarest whole number) The forecast of total goif bali sales for July 2018 is (Enter your response rounded to the naarest wholo number) Celculate the infercept term, a (erder your responsos rounded to one docimal place). a^=93.6=385.2 b. Use the regression forecasting model to forecast total golf ball sales for June and July 2018. Average temperatures are expected to be 77 degrees in June and 83 degrees in July. The forecast of total goif ball sales for June 2013 is (Enter your response rounded to the noarest whole number.) The forecast of total golf ball sales for July 2018 is (Enter your response munded to the nearest whole number.) c. Is this regression model a time series of a causal foracasting modeh? A. This regression model is a a time series forecasting model because time series are used to difyelop forecasts: B. This regression model is a a time spries forecaiting model because the number of golf balis to be sold each month depends oniy on the time period. c. The regression model is a causal forocasting model because the number of goil balls to be sold each monith depends on the expecied average temperature for the month