Please answer B and C for question 3. Please refer to both pages. No extra information needed thank you!

b. Use the regression forecasting model to forecast total golf ball sales for June and July 2018. Average temperatures are expected to be egrees in June and ( degrees in July. The forecast of total golf ball sales for June 2018 is (Enter your response rounded to the nearest whole number.) The forecast of total golf ball sales for July 2018 is (Enter your response rounded to the nearest whole number.) c. Is this regression model a time series or a causal forecasting model? A. This regression model is a causal forecasting model because both the chronology of the observations and their values affect the number of golf balls. B. This regression model is a a time series forecasting model because time series are used to develop forecasts. Affer graduation, you take a position at Top-Sioe, a woll-known manufacturer of goif balls. Ono of your duties is to forecast monthly demand for goif balls. Using the following data, you developed a regression model that expresses monthly sales as a function of averago temperature for the month: Monthly soles =429.8+90.4 (average temperature) Click the icon to view the additional data. a. Show how the and 6 values of 429.d and 90.4 were calculated. Calculate the siope coeficient, b (enter your retponses as whole numbera). b^=49,84512(7477)24,186,18012(747)(02,3907)=90,4 Calculate the intercept term, a^ (enter your responses rounded to one decimal place). a=5,199.290.462.3=429.8 b. Use the regression forecasting model to forecast total goif ball saies for June and July 2018. Average temperatures are expected to be 75 degrees in June and 88 degrees in July. The forocast of total goif bal sales for June 2018 is (Enter your respanse rounded to the nearest whole number.)