Year (iv) Use the forecast equation to obtain the projected rates for the quarters of 2021. Provide a table with your output variables. Period Forecast Seasonal Index Quarter CPI Seasonal rate Forecast Seasonalized Forecast (v) Compute the MSE, MAD and MAPE for the seasonalized forecast for 2019 manually (Show ALL workings). [ (F-A) (F-A)² (i) Using the MSE, MAD and MAPE, compare the forecasted data to the actual data for 2021 and comment on the accuracy of the forecasts obtained. (F-A)/A
Year (iv) Use the forecast equation to obtain the projected rates for the quarters of 2021. Provide a table with your output variables. Period Forecast Seasonal Index Quarter CPI Seasonal rate Forecast Seasonalized Forecast (v) Compute the MSE, MAD and MAPE for the seasonalized forecast for 2019 manually (Show ALL workings). [ (F-A) (F-A)² (i) Using the MSE, MAD and MAPE, compare the forecasted data to the actual data for 2021 and comment on the accuracy of the forecasts obtained. (F-A)/A
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
| Year | Consumer price index |
| 2001 | 0.9576707944 |
| 2001 | 1.043445267 |
| 2001 | 0.1314307172 |
| 2001 | -0.2812675892 |
| 2002 | 0.3572771719 |
| 2002 | 1.086752857 |
| 2002 | 0.4263206673 |
| 2002 | 0.3137689184 |
| 2003 | 1.011959522 |
| 2003 | 0.364298725 |
| 2003 | 0.4900181488 |
| 2003 | 0.01806032147 |
| 2004 | 0.9028530155 |
| 2004 | 1.431639227 |
| 2004 | 0.352858151 |
| 2004 | 0.5977496484 |
| 2005 | 0.6291506466 |
| 2005 | 1.337269885 |
| 2005 | 1.216795201 |
| 2005 | 0.5079580088 |
| 2006 | 0.539083558 |
| 2006 | 1.692359249 |
| 2006 | 0.5602240896 |
| 2006 | -0.8520399803 |
| 2007 | 1.019170385 |
| 2007 | 1.917329089 |
| 2007 | 0.2759287112 |
| 2007 | 1.711214555 |
| 2008 | 1.136773642 |
| 2008 | 2.195344656 |
| 2008 | 1.163055346 |
| 2008 | -2.828529429 |
| 2009 | -0.497633075 |
| 2009 | 1.060302337 |
| 2009 | 0.6790719816 |
| 2009 | 0.2011885888 |
| 2010 | 0.4014150536 |
| 2010 | 0.4750721517 |
| 2010 | 0.09325049836 |
| 2010 | 0.2949163207 |
| 2011 | 1.264822375 |
| 2011 | 1.743310892 |
| 2011 | 0.4085179843 |
| 2011 | -0.1520557705 |
| 2012 | 0.7956386559 |
| 2012 | 0.8275317381 |
| 2012 | 0.219328148 |
| 2012 | 0.03604046954 |
| 2013 | 0.5903298758 |
| 2013 | 0.5409806119 |
| 2013 | 0.3779793413 |
| 2013 | -0.2790676461 |
| 2014 | 0.7612225297 |
| 2014 | 1.180867814 |
| 2014 | 0.1146758445 |
| 2014 | -0.8033517566 |
| 2015 | -0.5431990017 |
| 2015 | 1.205595644 |
| 2015 | 0.2626773738 |
| 2015 | -0.4498436877 |
| 2016 | 0.06463406581 |
| 2016 | 1.172350557 |
| 2016 | 0.3326819411 |
| 2016 | 0.2225741972 |
| 2017 | 0.790736963 |
| 2017 | 0.5435177058 |
| 2017 | 0.3966156914 |
| 2017 | 0.3706296363 |
| 2018 | 0.8861183798 |
| 2018 | 1.033075567 |
| 2018 | 0.3272675678 |
| 2018 | -0.05749473626 |
| 2019 | 0.3351160343 |
| 2019 | 1.198513227 |
| 2019 | 0.2741660078 |
| 2019 | 0.2130179974 |
| 2020 | 0.4194274219 |
| 2020 | -0.5400354172 |
| 2020 | 1.131485375 |
| 2020 | 0.2299502502 |
Using this information provided above please provide solutions for the questions in screen shot.
Transcribed Image Text:Year
(iv) Use the forecast equation to obtain the projected rates for the quarters of 2021.
Provide a table with your output variables.
Period
Forecast
Quarter CPI
rate
Seasonal
Index
(v) Compute the MSE, MAD and MAPE for the seasonalized forecast for 2019
manually (Show ALL workings).
Seasonal
Forecast
Seasonalized
Forecast
(F-A)
(F - A)²
(1) Using the MSE, MAD and MAPE, compare the forecasted data to the actual data
for 2021 and comment on the accuracy of the forecasts obtained.
(F - A)/A
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