For the E-Commerce Retail Sales (Million$) data given in the table below, provide estimates from the 1st Quarter (Q1) of 2016 to the 3rd Quarter (Q3) of 2017 by using two models: 1) Single Exponential Smoothing with α=0.3 2) Moving Average with k=2. Calculate MAPE for each model. Quarter Year Actual Q1 2016 86802 Q2 2016 92004 Q3 2016 93795 Q4 2016 124651 Q1 2017 99491 Q2 2017 106590 Q3 2017 108291   Compare two models above (Single Exponential Smoothing and Moving Average) based on their accuracies. Which forecasting method appears to be better? Using the model you choose, provide forecast for the 4th Quarter (Q4) of 2017. Assuming that this model is overestimating, find the actual value of the Q4 of 2017 based on MAPE value.   Some residual graphs from the first forecast model (including wider range of E-Commerce Retail Sales data) are given below. What do these graphs tell about the model? Explain each graph.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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  1. For the E-Commerce Retail Sales (Million$) data given in the table below, provide estimates from the 1st Quarter (Q1) of 2016 to the 3rd Quarter (Q3) of 2017 by using two models:

1) Single Exponential Smoothing with α=0.3

2) Moving Average with k=2.

Calculate MAPE for each model.

Quarter

Year

Actual

Q1

2016

86802

Q2

2016

92004

Q3

2016

93795

Q4

2016

124651

Q1

2017

99491

Q2

2017

106590

Q3

2017

108291

 

  1. Compare two models above (Single Exponential Smoothing and Moving Average) based on their accuracies. Which forecasting method appears to be better? Using the model you choose, provide forecast for the 4th Quarter (Q4) of 2017. Assuming that this model is overestimating, find the actual value of the Q4 of 2017 based on MAPE value.

 

  1. Some residual graphs from the first forecast model (including wider range of E-Commerce Retail Sales data) are given below. What do these graphs tell about the model? Explain each graph.
Histogram
(response is E-CommerceRetailSales, Millions)
Versus Order
(response is E-CommerceRetailsales, Millions)
50000
40
40000
30000
20000
10000
10000
20000
30000
40000
so000
10
20
40
so
60
70
80
Residual
Observation Order
Frequency
Residual
Transcribed Image Text:Histogram (response is E-CommerceRetailSales, Millions) Versus Order (response is E-CommerceRetailsales, Millions) 50000 40 40000 30000 20000 10000 10000 20000 30000 40000 so000 10 20 40 so 60 70 80 Residual Observation Order Frequency Residual
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