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Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.

Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.

MATLAB: An Introduction with Applications
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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Quarterly Glass Container Demand Year 1990 1991 1992 First Qtr. 17,446. 17,748. 17,595. Second Qtr. 17,785. 19,360. 18,338. Third Qtr. 18,971. Fourth Qtr. 19140. 17,802. 19,413. 18,315. 18,083. Question: Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.
Transcribed Image Text:Quarterly Glass Container Demand Year 1990 1991 1992 First Qtr. 17,446. 17,748. 17,595. Second Qtr. 17,785. 19,360. 18,338. Third Qtr. 18,971. Fourth Qtr. 19140. 17,802. 19,413. 18,315. 18,083. Question: Quarterly sales (in thousands of units) of a product over the last two years have been 26, 29, 30, 27, 28, 32, 33, and 30. Plot the data and forecast for the next period using Winter's Seasonal Model. Now, assume sales for the ninth quarter turned out to be 32. Update your parameter estimates and forecast sales for period 10.
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