(a) Suppose the data in the table below represents total revenues (in $ millions) for one real estate agency in the GTA. Fill in the 3-year Moving Averages, Weighted Moving Averages (with weights 5,3,2 starting from the most recent time period), and the Exponential Smoothing Forecast values in the table below: Round your answers in part (a) to 2 decimal places. Year Revenue 3-Year Moving Averages Weighted Moving Averages Exponential Smoothing α=0.35α=0.35 2016 4.7       2017 4.9       2018 5.4       2019 5.9

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 40P: The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels....
icon
Related questions
Question

(a) Suppose the data in the table below represents total revenues (in $ millions) for one real estate agency in the GTA. Fill in the 3-year Moving Averages, Weighted Moving Averages (with weights 5,3,2 starting from the most recent time period), and the Exponential Smoothing Forecast values in the table below:


Round your answers in part (a) to 2 decimal places.

Year Revenue 3-Year Moving Averages Weighted Moving Averages Exponential Smoothing α=0.35α=0.35
2016 4.7      
2017 4.9      
2018 5.4      
2019 5.9      
2020 6.7      
2021 7.9      
2022 Forecast        

 

Round your answers in part (b) to 2 decimal places, and round the MAD/MAE to 3 decimal places.

(b) Calculate the MAD/MAE for 3-year Moving Averages for 2019-2021 (use results from the previous problem).

Year Revenue 3-Year Moving Averages Absolute Error
2016 4.7    
2017 4.9    
2018 5.4    
2019 5.9    
2020 6.7    
2021 7.9    
    MAD/MAE =  



Round your answers in part (c) to 2 decimal places, and round the MAD/MAE to 3 decimal places.

(c) Calculate the MAD/MAE for Weighted Moving Averages for 2019-2021 (use results from the previous problem with weights 5,3,2 starting from the most recent time period).

Year Revenue Weighted Moving Averages Absolute Error
2016 4.7    
2017 4.9    
2018 5.4    
2019 5.9    
2020 6.7    
2021 7.9    
    MAD/MAE =  



(d) Based on the results (b)-(c), which method provides a better forecast of the revenue for 2019-2021? 

  • Weighted Moving Averages, since the MAD/MAE for Weighted Moving Averages is less than the MAD/MAE for 3-Year Moving Averages.
  • 3-Year Moving Averages, since the MAD/MAE for 3-Year Moving Averages is less than the MAD/MAE for Weighted Moving Averages.
  • Weighted Moving Averages, since the MAD/MAE for Weighted Moving Averages is greater than the MAD/MAE for 3-Year Moving Averages.
  • 3-Year Moving Averages, since the MAD/MAE for 3-Year Moving Averages is greater than the MAD/MAE for Weighted Moving Averages.
  • None of the above.
Expert Solution
steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Similar questions
Recommended textbooks for you
Practical Management Science
Practical Management Science
Operations Management
ISBN:
9781337406659
Author:
WINSTON, Wayne L.
Publisher:
Cengage,
Purchasing and Supply Chain Management
Purchasing and Supply Chain Management
Operations Management
ISBN:
9781285869681
Author:
Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:
Cengage Learning
Contemporary Marketing
Contemporary Marketing
Marketing
ISBN:
9780357033777
Author:
Louis E. Boone, David L. Kurtz
Publisher:
Cengage Learning
Marketing
Marketing
Marketing
ISBN:
9780357033791
Author:
Pride, William M
Publisher:
South Western Educational Publishing