4.31 Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table: WEEK 1 2 3 4 7 8 9 10 11 12 CALLS 50 35 25 40 45 35 20 30 35 20 15 40 WEEK 13 14 15 16 17 18 19 20 21 22 23 24 CALLS 55 35 25 55 55 40 35 60 75 50 40 65 a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and use a = .2. What is the forecast for week 25? b) Reforecast each period using a = .6. c) Actual calls during week 25 were 85. Which smoothing con- stant provides a superior forecast? Explain and justify the measure of error you used. Px
4.31 Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table: WEEK 1 2 3 4 7 8 9 10 11 12 CALLS 50 35 25 40 45 35 20 30 35 20 15 40 WEEK 13 14 15 16 17 18 19 20 21 22 23 24 CALLS 55 35 25 55 55 40 35 60 75 50 40 65 a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and use a = .2. What is the forecast for week 25? b) Reforecast each period using a = .6. c) Actual calls during week 25 were 85. Which smoothing con- stant provides a superior forecast? Explain and justify the measure of error you used. Px
Contemporary Marketing
18th Edition
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Louis E. Boone, David L. Kurtz
Chapter14: Pricing Strategies
Section14.2: Forecasting Demand
Problem 1LO
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