Given the following data, use exponential smoothing (a *0.10) to develop a demand forecast. Assume the forecast for the initial period is a. 4 5 Period Demand 1 9 2 11 3 10 6 8 10 16 The exponential smoothing forecast is (round your responses to two decimal places): 1 2 3 4 5 6 7 Period Forecast 8.00 Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 460 495 1 2 3 4 5 518 563 584 a) Forecasted sales for year 6 using a 3-year moving average is sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number). A large Portland manufacturer wants to forecast demand for a piece of pollution-control equipment. A review of past sales (A) as shown below, indicates that an increasing and is present. Smoothing constants are assigned the values of a = 0.20 and p = 04. The firm assumes the initial forecast for month 1 (F) was 9.00 units and the trend over that period was 200 units. Using trend-adjusted exponential smoothing. Forecasts (6) Trend (Ti), and Forecasts including Trend (FIT) for months 1 through 4 have already been developed and are provided below Continue with the process and determine FT and FIT, for months 5 and 6 fround your responses to wo decimal places Month 10 1 2 3 4 5 Actual Demand (A) 10.0 18.0 24.0 190 220 220 300 270 38.0 Forecast (F.) 9.00 10.80 13.78 17.70 Trend (7) 2.00 1.92 234 2.97 Forecast including Trend (FIT) 11.00 12.72 16.12 20.07 6 7 8 9 10