A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: Number sold: 2 8. 37 40 45 44 48 49 47 46 50 10 11 12 13 14 15 Day: Number sold: 54 52 53 57 49 53 a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for Day 8, an initial trend estimate of 2, and a = ß = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.)
A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: Number sold: 2 8. 37 40 45 44 48 49 47 46 50 10 11 12 13 14 15 Day: Number sold: 54 52 53 57 49 53 a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for Day 8, an initial trend estimate of 2, and a = ß = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were
Day:
Number
sold:
2
8.
37
40
45
44
48
49
47
46
50
10
11
12
13
14
15
Day:
Number
sold:
54
52
53
57
49
53
a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for
Day 8, an initial trend estimate of 2, and a = ß = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE
using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal
places. Round your final MSE answer to 3 decimal places.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e1b02c1-3f2e-4a10-8e81-5aa0dfa3d94b%2Fe9466366-22b6-4f9b-be21-cca4c8433dcf%2Fe91l58n.png&w=3840&q=75)
Transcribed Image Text:A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were
Day:
Number
sold:
2
8.
37
40
45
44
48
49
47
46
50
10
11
12
13
14
15
Day:
Number
sold:
54
52
53
57
49
53
a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for
Day 8, an initial trend estimate of 2, and a = ß = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE
using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal
places. Round your final MSE answer to 3 decimal places.)
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