12-1. The Hartley-Davis motorcycle dealer in the Minneapolis- St. Paul area wants to be able to forecast accurately the de- mand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year. Month Motorcycle Sales January February 7 March 10 April May 7 June 12 July 10 August 11 September 12 October 10 November December 14 16 a. Compute a three-month moving average forecast of demand for April through January (of the next year). b. Compore a five-month moving average forecast for June drough January. c. Compare the two forecasts computed in parts (a) and (b) using MAD. Which one should the dealer use for January of the next year?

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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12-1. The Hartley-Davis motorcycle dealer in the Minneapolis-
St. Paul area wants to be able to forecast accurately the de-
mand for the Roadhog Super motorcycle during the next
month. From sales records, the dealer has accumulated the
data in the following table for the past year.
Month
January
February
March
April
Мay
June
Motorcycle Sales
7
10
8
7
12
July
August
September
10
11
12
October
10
November
December
14
16
a Compute a three-month moving average forecast of
demand for April through January (of the next year).
b. Compore a five-month moving average forecast for
June drough January.
c. Compare the two forecasts computed in parts (a) and
(b) using MAD. Which one should the dealer use for
January of dhe next year?
Transcribed Image Text:12-1. The Hartley-Davis motorcycle dealer in the Minneapolis- St. Paul area wants to be able to forecast accurately the de- mand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year. Month January February March April Мay June Motorcycle Sales 7 10 8 7 12 July August September 10 11 12 October 10 November December 14 16 a Compute a three-month moving average forecast of demand for April through January (of the next year). b. Compore a five-month moving average forecast for June drough January. c. Compare the two forecasts computed in parts (a) and (b) using MAD. Which one should the dealer use for January of dhe next year?
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