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1. Construct an exponential smoothing model for the Amazon Revenue Data. a. Use 0.7 as the smoothing constant and b. 7,131 as the initial value C. What is your prediction for Q1, 2021? d. Calculate the MAD, MSE, and MAPE for this time series model. 2. Construct a moving average model (k=3) for the Amazon Revenue Data. 3. Compare the smoothing and moving average models. Which is more accurate? A B C 20 12345690022===≈ Year Quarter Revenue 2010 1 7,131.00 2010 2 6,566.00 2010 3 7,560.00 2010 4 12,947.00 2011 1 9,857.00 7 2011 2 9,913.00 8 2011 3 10,876.00 2011 4 17,431.00 10 2012 1 13,185.00 11 2012 2 12,834.00 12 2012 3 13,806.00 13 2012 4 21,268.00 14 2013 1 16,070.00 15 2013 2 15,704.00 16 2013 3 17,091.00 17 2013 4 25,587.00 18 2014 1 19,741.00 19 2014 2 19,340.00 20 2014 3 20,578.00 21 2014 4 29,329.00 22 2015 1 22,717.00 23 2015 2 23,184.00 24 2015 3 25,358.00 25 2015 4 35,747.00 26 2016 1 29,128.00 27 2016 2 30,404.00 28 2016 3 32,714.00 29 2016 4 43,741.00 30 2017 1 35,714.00 31 2017 2 37,955.00 32 2017 3 43,744.00 33 2017 4 60,453.00 34 2018 1 51,042.00 35 2018 2 52,886.00 36 2018 3 56,576.00 37 2018 4 72,383.00 38 2019 1 59,700.00 39 2019 2 63,404.00 40 2019 3 69,982.00 41 2019 4 87,436.00 42 2020 1 75,452.00 43 2020 2 88,912.00 44 2020 3 96,145.00 45 2020 4 125,555.00

1. Construct an exponential smoothing model for the Amazon Revenue Data. a. Use 0.7 as the smoothing constant and b. 7,131 as the initial value C. What is your prediction for Q1, 2021? d. Calculate the MAD, MSE, and MAPE for this time series model. 2. Construct a moving average model (k=3) for the Amazon Revenue Data. 3. Compare the smoothing and moving average models. Which is more accurate? A B C 20 12345690022===≈ Year Quarter Revenue 2010 1 7,131.00 2010 2 6,566.00 2010 3 7,560.00 2010 4 12,947.00 2011 1 9,857.00 7 2011 2 9,913.00 8 2011 3 10,876.00 2011 4 17,431.00 10 2012 1 13,185.00 11 2012 2 12,834.00 12 2012 3 13,806.00 13 2012 4 21,268.00 14 2013 1 16,070.00 15 2013 2 15,704.00 16 2013 3 17,091.00 17 2013 4 25,587.00 18 2014 1 19,741.00 19 2014 2 19,340.00 20 2014 3 20,578.00 21 2014 4 29,329.00 22 2015 1 22,717.00 23 2015 2 23,184.00 24 2015 3 25,358.00 25 2015 4 35,747.00 26 2016 1 29,128.00 27 2016 2 30,404.00 28 2016 3 32,714.00 29 2016 4 43,741.00 30 2017 1 35,714.00 31 2017 2 37,955.00 32 2017 3 43,744.00 33 2017 4 60,453.00 34 2018 1 51,042.00 35 2018 2 52,886.00 36 2018 3 56,576.00 37 2018 4 72,383.00 38 2019 1 59,700.00 39 2019 2 63,404.00 40 2019 3 69,982.00 41 2019 4 87,436.00 42 2020 1 75,452.00 43 2020 2 88,912.00 44 2020 3 96,145.00 45 2020 4 125,555.00

Understanding Business
Understanding Business
12th Edition
ISBN:9781259929434
Author:William Nickels
Publisher:William Nickels
Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment
Section: Chapter Questions
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1. Construct an exponential smoothing model for the Amazon Revenue Data. a. Use 0.7 as the smoothing constant and b. 7,131 as the initial value C. What is your prediction for Q1, 2021? d. Calculate the MAD, MSE, and MAPE for this time series model. 2. Construct a moving average model (k=3) for the Amazon Revenue Data. 3. Compare the smoothing and moving average models. Which is more accurate?
Transcribed Image Text:1. Construct an exponential smoothing model for the Amazon Revenue Data. a. Use 0.7 as the smoothing constant and b. 7,131 as the initial value C. What is your prediction for Q1, 2021? d. Calculate the MAD, MSE, and MAPE for this time series model. 2. Construct a moving average model (k=3) for the Amazon Revenue Data. 3. Compare the smoothing and moving average models. Which is more accurate?
A B C 20 12345690022===≈ Year Quarter Revenue 2010 1 7,131.00 2010 2 6,566.00 2010 3 7,560.00 2010 4 12,947.00 2011 1 9,857.00 7 2011 2 9,913.00 8 2011 3 10,876.00 2011 4 17,431.00 10 2012 1 13,185.00 11 2012 2 12,834.00 12 2012 3 13,806.00 13 2012 4 21,268.00 14 2013 1 16,070.00 15 2013 2 15,704.00 16 2013 3 17,091.00 17 2013 4 25,587.00 18 2014 1 19,741.00 19 2014 2 19,340.00 20 2014 3 20,578.00 21 2014 4 29,329.00 22 2015 1 22,717.00 23 2015 2 23,184.00 24 2015 3 25,358.00 25 2015 4 35,747.00 26 2016 1 29,128.00 27 2016 2 30,404.00 28 2016 3 32,714.00 29 2016 4 43,741.00 30 2017 1 35,714.00 31 2017 2 37,955.00 32 2017 3 43,744.00 33 2017 4 60,453.00 34 2018 1 51,042.00 35 2018 2 52,886.00 36 2018 3 56,576.00 37 2018 4 72,383.00 38 2019 1 59,700.00 39 2019 2 63,404.00 40 2019 3 69,982.00 41 2019 4 87,436.00 42 2020 1 75,452.00 43 2020 2 88,912.00 44 2020 3 96,145.00 45 2020 4 125,555.00
Transcribed Image Text:A B C 20 12345690022===≈ Year Quarter Revenue 2010 1 7,131.00 2010 2 6,566.00 2010 3 7,560.00 2010 4 12,947.00 2011 1 9,857.00 7 2011 2 9,913.00 8 2011 3 10,876.00 2011 4 17,431.00 10 2012 1 13,185.00 11 2012 2 12,834.00 12 2012 3 13,806.00 13 2012 4 21,268.00 14 2013 1 16,070.00 15 2013 2 15,704.00 16 2013 3 17,091.00 17 2013 4 25,587.00 18 2014 1 19,741.00 19 2014 2 19,340.00 20 2014 3 20,578.00 21 2014 4 29,329.00 22 2015 1 22,717.00 23 2015 2 23,184.00 24 2015 3 25,358.00 25 2015 4 35,747.00 26 2016 1 29,128.00 27 2016 2 30,404.00 28 2016 3 32,714.00 29 2016 4 43,741.00 30 2017 1 35,714.00 31 2017 2 37,955.00 32 2017 3 43,744.00 33 2017 4 60,453.00 34 2018 1 51,042.00 35 2018 2 52,886.00 36 2018 3 56,576.00 37 2018 4 72,383.00 38 2019 1 59,700.00 39 2019 2 63,404.00 40 2019 3 69,982.00 41 2019 4 87,436.00 42 2020 1 75,452.00 43 2020 2 88,912.00 44 2020 3 96,145.00 45 2020 4 125,555.00
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