- (a) Suppose the data in the table below represents total revenues (in $ millions) for one real estate agency in the GTA. Fill in the 3year Moving Averages, Weighted Moving Averages (with weights 6,3,1 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. 3-Year Weighted Exponential Revenue Moving Moving Smoothing Averages Averages a = 0.25 2016 2017 2018 2019 2020 2021 2022 Forecast Round your answers in part (b) to 2 decimal places, and round the MADIMAE to 3 decimal places. (b) Calculate the MAD/MAE for 3year Moving Averages for 2019~2021 (use results from the previous problem). 3-Year Year Revenue Moving Averages Absolute Error 2016 4.6 2017 5.4 2018 5.9 2019 6.3 2020 6.9 2021 7.8 MAD/MAE Round your answers in part (c) to 2 decimal places, and round the MADIMAE to 3 decimal places. (c) Calculate the MAD/MAE for Weighted Moving Averages for 20192021 (use results from the previous problem with weights 6,3,1 starting from the most recent time period). Weighted Year Revenue Moving Averages Absolute Error 2016 4.6 2017 5.4 2018 5.9 2019 6.3 2020 6.9 2021 7.8 MADIMAE (d) Based on the results (b)(c), which method provides a better forecast of the revenue for 2019~2021? 3Year Moving Averages, since the MAD/MAE for 3Year Moving Averages is less than the MAD/MAE for Weighted Moving Averages. 3Year Moving Averages, since the MAD/MAE for 3Year Moving Averages is greater 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 3Year Moving Averages. Weighted Moving Averages, since the MAD/MAE for Weighted Moving Averages is less than the MAD/MAE for 3~Year Moving Averages. None of the above