A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: 1 2 3 4 5 6 7 8 9 Number sold: 39 40 43 44 48 52 53 50 54 Day: 10 11 12 13 14 Number sold: 54 52 57 54 56 15 57 Click here for the Excel Data File a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 50 for Day 8, an initial trend estimate of 2, and a ẞ= 2, 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.) MSE

A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: 1 2 3 4 5 6 7 8 9 Number sold: 39 40 43 44 48 52 53 50 54 Day: 10 11 12 13 14 Number sold: 54 52 57 54 56 15 57 Click here for the Excel Data File a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 50 for Day 8, an initial trend estimate of 2, and a ẞ= 2, 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.) MSE

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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