The file S12_59.xlsx contains total monthly U.S. retail sales data. Compare the effectiveness of Winters’ method with that of the ratio-to-moving-average method in de-seasonalizing this time series. Using the de-seasonalized time series generated by each of these two methods, forecast U.S. retail sales with the most appropriate method. Defend your choice of forecasting method.
Answer to relevant QuestionsSuppose that a time series consisting of six years (2005-2010) of quarterly data exhibits obvious seasonality. In fact, assume that the seasonal indexes turn out to be 0.75, 1.45, 1.25, and 0.55.a. If the last four ...Winters’ method assumes a multiplicative seasonality but an additive trend. For example, a trend of 5 means that the level will increase by five units per period. Suppose that there is actually a multiplicative trend. Then ...The file S12_72.xlsx contains data on a motel chain’s revenue and advertising.a. Use these data and multiple regression to make predictions of the motel chain’s revenues during the next four quarters. Assume that ...Amanta Appliances sells two styles of refrigerators at more than 50 locations in the Midwest. The first style is a relatively expensive model, whereas the second is a standard, less expensive model. Although weekly demand ...Consider the graphical solution to the product mix problem. Now imagine that another constraint—any constraint—is added. Which of the following three things are possible: (1) The feasible region shrinks; (2) The feasible ...
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