Year Q1 2016 1317 1615 1662 1295 2017 1277 1258 1417 1185 Q2 Q3 Q4 2018 943 1175 1269 973 2019 1429 1699 1764 1328 a. Use the additive model to decompose the time series. b. Using the results from part (a) forecast each quarter's sales for 2019. c. Was the additive model appropriate? Explain.

Year Q1 2016 1317 1615 1662 1295 2017 1277 1258 1417 1185 Q2 Q3 Q4 2018 943 1175 1269 973 2019 1429 1699 1764 1328 a. Use the additive model to decompose the time series. b. Using the results from part (a) forecast each quarter's sales for 2019. c. Was the additive model appropriate? Explain.

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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Question

The table below shows the quarterly sales of refrigerators for a home appliance store for
years 2016 to 2019.
Year Q1
2016 1317 1615 1662 1295
2017 1277 1258 1417 1185
Q2
Q3 Q4
2018
943 1175 1269 973
2019 1429 1699 1764 1328
a. Use the additive model to decompose the time series.
b. Using the results from part (a) forecast each quarter's sales for 2019.
c. Was the additive model appropriate? Explain.

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