a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.) 1 2 Answer is complete but not entirely correct. MAD Forecast Forecast MSE 2,942.50 1,125.60 X MAPE F1 MAPE F2 22.50 b. Compute MAPE for each forecast. (Round your intermediate calculations to 5 decimal places and final answers to 4 decimal places.) 28.40 Answer is complete but not entirely correct. 4.2153 % 3.4380 % c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following; (1) MSE, (2) MAD, (3) tracking signal at month 10, and (4) 2s control limits. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.) 1 2 Answer is complete but not entirely correct. MAD Forecast Forecast MSE 2,942.50 1,125.60 X MAPE F1 MAPE F2 22.50 b. Compute MAPE for each forecast. (Round your intermediate calculations to 5 decimal places and final answers to 4 decimal places.) 28.40 Answer is complete but not entirely correct. 4.2153 % 3.4380 % c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following; (1) MSE, (2) MAD, (3) tracking signal at month 10, and (4) 2s control limits. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 29P: The file P13_29.xlsx contains monthly time series data for total U.S. retail sales of building...
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