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Compare the two models based on the forecast errors. Which is the appropriate model to use? Why? Seasonally adjusted linear trend Time, Linear Trend Date Quarter Sales |e| e lel t F, 31/03/2016 30/06/2016 30/09/2016 31/12/2016 31/03/2017 1 1 184 222.25 2 221 274.25 3 3 241 282.64 4 4 541 456.64 1 5 219 207.81 297 30/06/2017 30/09/2017 31/12/2017 6 259.81 3 7 330 268.2 4 8 335 442.2 31/03/2018 1 9 202 193.37 30/06/2018 10 283 245.37 30/09/2018 3 11 286 253.76 31/12/2018 31/03/2019 30/06/2019 30/09/2019 12 377 427.76 1 13 243 178.93 14 292 230.93 3 15 131 239.32 31/12/2019 4 16 528 413.32

Compare the two models based on the forecast errors. Which is the appropriate model to use? Why? Seasonally adjusted linear trend Time, Linear Trend Date Quarter Sales |e| e lel t F, 31/03/2016 30/06/2016 30/09/2016 31/12/2016 31/03/2017 1 1 184 222.25 2 221 274.25 3 3 241 282.64 4 4 541 456.64 1 5 219 207.81 297 30/06/2017 30/09/2017 31/12/2017 6 259.81 3 7 330 268.2 4 8 335 442.2 31/03/2018 1 9 202 193.37 30/06/2018 10 283 245.37 30/09/2018 3 11 286 253.76 31/12/2018 31/03/2019 30/06/2019 30/09/2019 12 377 427.76 1 13 243 178.93 14 292 230.93 3 15 131 239.32 31/12/2019 4 16 528 413.32

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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Compare the two models based on the forecast errors. Which is the appropriate model to use? Why? Seasonally adjusted linear trend Time, Linear Trend Date Quarter Sales lel e le| e e F. 31/03/2016 1. 1 184 222.25 30/06/2016 2 221 274.25 30/09/2016 3 3 241 282.64 31/12/2016 4 4 541 456.64 31/03/2017 1 5 219 207.81 30/06/2017 2 6 297 259.81 30/09/2017 3 7 330 268.2 31/12/2017 4 335 442.2 31/03/2018 9 202 193.37 30/06/2018 10 283 245.37 30/09/2018 3 11 286 253.76 31/12/2018 4 12 377 427.76 31/03/2019 1 13 243 178.93 30/06/2019 2 14 292 230.93 30/09/2019 3 15 131 239.32 31/12/2019 4 16 528 413.32
Transcribed Image Text:Compare the two models based on the forecast errors. Which is the appropriate model to use? Why? Seasonally adjusted linear trend Time, Linear Trend Date Quarter Sales lel e le| e e F. 31/03/2016 1. 1 184 222.25 30/06/2016 2 221 274.25 30/09/2016 3 3 241 282.64 31/12/2016 4 4 541 456.64 31/03/2017 1 5 219 207.81 30/06/2017 2 6 297 259.81 30/09/2017 3 7 330 268.2 31/12/2017 4 335 442.2 31/03/2018 9 202 193.37 30/06/2018 10 283 245.37 30/09/2018 3 11 286 253.76 31/12/2018 4 12 377 427.76 31/03/2019 1 13 243 178.93 30/06/2019 2 14 292 230.93 30/09/2019 3 15 131 239.32 31/12/2019 4 16 528 413.32
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