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DIGI CHUTE OX 89 1 12:08 BE3 8 1:11:37 PROBLEMS Based on this santa, forecast week 9 using a five week moving merge 383+410+432+405+4 Calvins the following data, calcul oving averages for years 4 through 10. What is the forecast for May based on a weighted moving average applied to the following 2142 +3847 + 4x43 -84+141+172-395: 397/9 - 44.1 (Time-series forecasting, easy) upscale branch of a department store chain, Given an actual number of returns of 154 items smoothing constant of o.3, what is the forecast for the next period! How would the for he changed if the soothing s instant were 0. of Fixplain the difference in terms of the more responsive the forecast. (Time-series forecasting, easy) late smoothed averages and a forecast for period ? from the data below. Assime the forecast for the initial period is 7. Demand DIGI COLIE $ 89 1 12:08 BE3 82 1:11:37 darestaurant this track week. Lise the follow ing information lunch over the last four weeks. The moval (daily) index for this accumulation of data. The three previous July values Were the : 135 - 13033 -125: 1267168 - 0.781 (Time-series fores