Exponential 4-year Year 3-year Weighted Revenue Moving Average Moving Average Smoothing (a = 0.1) 2010 3.9 2011 4.4 3.9 2012 5.0 3.95 2013 4.3 4.270 4.055 2014 4.3 4.4 4.560 4.080 2015 4.8 4.5 4.650 4. 102 2016 4.7 4.6 4.400 4.172 2017 5.1 4.525 4.530 4.225 2018 5.3 4.725 4.830 4.313 2019 3.5 4.975 4.940 4.412 2020 4.5 4.65 4.840 4.321 2021 4.1 4.6 4.600 4.339 2022 4.35 3.920 4.315Calculate absolute Percent Er'r'or' for each applicable period of each method, rounded to 3 decimal places. Use the results to answer' the following. I. What is the MHPE for the 4year moving average forecasts? 9E. ||. What is the MAPE for the 3-year weighted moving average forecasts? 113.301 3": '56: I\". What is the MHPE for the eiqoonentiallyr smoothed {a 2 [1'1]- forecasts? 12334 K '36. IV. Based on MAPE, which of the methods provides the best forecast accuracy for the data? v The following data represent the annual revenue [in millions of dollars] for a cloud software company from 2010' to 2021. Complete the table by developing: ' 4-year moving average forecasts ' 3-year weighted moving average forecasts using weights 5. 3 and 2, with emphasis placed on more recent periods ' exponentially smoothed forecasts with o: = [11 Round all results to 3 decimal places. If a posted result is being reused, ensure that the value being r-eused is the rounded value and not the original result obtained before Pounding. Hint: Use =RDIJIIJ( ,3) in Excel