If actual demand in period 6 turns out to be 65 , the moving average forecast for period 7 would be a. Compute a weighted average forecast using a weight of 0.4 for the most recent period, 0.3 for the next most recent, 0.2 for th next, and 0.1 for the next. (Round all your answers to two decimal points.) b. If the actual demand for period 6 is 34 , forecast demand for period 7 using the same weights as in part a. A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 51 percent of capacity; actual usage was 56 percent of capacity. A smoothing constant of 10 is used. a. Prepare a forecast for September. (Round your final answer to 2 decimal places.) b. Assuming actual September usage of 47 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places. The table below shows actual and forecasted nubmers of accounts serviced by a company. Compute MAD, MSE, and MAPE for th following data, showing actual and forecasted numbers of accounts serviced. (Enter whole number values in the table below for Error, IErrorl, and Error^2. Round the IErrorl/Actual to three decimals. Enter 0 where necessary, do not leave any cells blank. Negative values should be indicated with a minus sign, i.e, 2. Round MAD, MSE and MAPE to 3 decimal places.) Given the following demand data, compute a simple exponential smoothing forecast for alpha values of 0.1 and 0.4. Use the actua value in Period 1 as your starting forecast in Period 2. (Round all your calculations to two decimal points.)