You have become concerned about the amount of copier paper used in your office after repeatedly running out of supplies. Your assistant keeps track of the number of reams (packages of 500 sheets) for 24 weeks: a-1. Beginning with the errors calculated in week 7, calculate MFE and MAD for twoweek, four-week, and six-week moving averages. (Negative answers should be indicated by a minus sign. Round your intermediate calculations and final answers to 1 decimal place.) a-2. Compare the effectiveness of two-week, four-week, and six-week moving averages with respect to MAD. Which should you use to forecast copier paper use during the next week? 2-week moving average 4-week moving average 1-2. Compare the effectiveness of two-week, four-week, and six-week moving averages with respect to MAD. Which should you use to forecast copier paper use during the next week? 2-week moving average 4-week moving average 6-week moving average b-1. Using errors from all 24 weeks, calculate MFE and MAD for exponential smoothing forecast model with smoothing constants of 0.01,0.05, and 0.25. Assume a forecast for week 1 of 230 reams. (Round your intermediate calculations and final answers to 1 decimal place.) b-2. Compare the performance of the simple exponential smoothing model with smoothing constants of 0.01,0.05, and 0.25. Assume a forecast for week 1 of 230 reams. Which constant worked best with respect to MAD? Exponential smoothing model with alpha of 0.25 Exponential smoothing model with alpha of 0.01 Exponential smoothing model with alpha of 0.05 Using q=0.7 and the following data, compute exponential smoothing forecasts for periods 2 through 8 . (Round your intermediate calculations and final answers to 2 decimal places.)