The file S12_56.xlsx contains monthly time series data for total U.S. retail sales of building materials (which includes retail sales of building materials, hardware and garden supply stores, and mobile home dealers). Does a regression approach for estimating seasonality provide forecasts that are as accurate as those provided by (a)Winters’ method and (b) the ratio-to-moving-average method? Compare the summary measures of forecast errors associated with each method for de-seasonalizing the given time series. Summarize the results of these comparisons.
Answer to relevant QuestionsThe file S12_68.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions.a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do ...The file S12_73.xlsx contains data on monthly U.S. permits for new housing units (in thousands of houses).a. Using Winters’ method, find values of α, β, and γ that yield an RMSE as small as possible. Does this method ...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 ...Again continuing problem 2, perform a sensitivity analysis where the selling prices of Basics and XPs simultaneously change by the same percentage, but the selling price of VXPs remains at its original value. Let the ...In Solver’s sensitivity report for the product mix model, the allowable decrease for available assembling hours is 2375. This means that something happens when assembling hours fall to 20,000 - 2375 =17,625. See what this ...
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