The following data show the quarterly sales for FitRite Auto parts. The goal will be to create a multiplicative time series decomposition forecast. Year Quarter Sales CMA Raw Seasonal Factor 160 180 8. 3 180 190 1.06 4 170 188.75 0.90 1 200 201.25 0.99 2 210 217.5 0.97 3 260 226.25 1.15 4 230 231.25 0.99 1 210 240 10 3 290 4 260 Calculate the CMA and raw seasonal factors for quarters 1 and 2 of Year 10 (there are four missing quantities). Take all calculations, and the answer, to two decimal places. Hint: You will need to compute the CMA values in order to find the raw seasonal factors.
The following data show the quarterly sales for FitRite Auto parts. The goal will be to create a multiplicative time series decomposition forecast. Year Quarter Sales CMA Raw Seasonal Factor 160 180 8. 3 180 190 1.06 4 170 188.75 0.90 1 200 201.25 0.99 2 210 217.5 0.97 3 260 226.25 1.15 4 230 231.25 0.99 1 210 240 10 3 290 4 260 Calculate the CMA and raw seasonal factors for quarters 1 and 2 of Year 10 (there are four missing quantities). Take all calculations, and the answer, to two decimal places. Hint: You will need to compute the CMA values in order to find the raw seasonal factors.
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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