delete backs home ulillole 1. Up Master TYPE: A 3. Ch. 4. Business Forecasting Decision Making on Forecasting Models Alexa is a department manager at a local department store. He took statistics and operations management in college and has recently forecast sales of toasters using a combination of forecasting methods and his expertise/experiences as below: (10 pts) U 1000 Manager's Forecast Nalve Forecast 3 Mon Moving Avg. 3 Mon Weighted MA. Exp. Smoothing ( 4) Ma. Month Unit Manager's Namorar Sales Font IMA Erroel WMA Error lor EXP Pro For 55.00 3.00 1.00 52 99 53.80 7.207:20 March 11 11 61 12 12 56.681632 16:32 April 19 19 73 6 6 6.00 17.00 17.00 66.67 12:33 12.33 63.21 15.79 15.79 20 20 79 11 13 71.00 5.00 5.00 75.00 9.009.00 69.52 352 352 17 17 66 15 15 72.67 216 21.67 71.11.2017 20.11 68.11 17.11 17.11 3 51 .4 65.3 1.3 1.3 59.11 12.11 12.11 61.27 -14.22 14.27 -21 21 47 3 5467-10.62 10.67 50.44 6.40 6.44 55 56 -11.56 1156 9 September 22 22 44 14 14 1733 1731 173345.78 -1578 15. 7 50.94 20.94 20.94 10 October 55 25 25 40.33 1467 14.67 36.56 18.44 1844 42.56 12.4 12.44 11 November 74 19 19 43.00 31.00 31.00 45.40 28.56 28.56 47426.46 26.46 12 December 2 75.00 53.00 145.62 148.00 120.00 135.67 12.00 Based on the forecasting crror, Mean Absolute Deviation (MAD) for the manager's forecast and all the other forecasts, which method seems the most accurate method and the least accurate among proposed forecasting approaches? Why? (Please state your reasons using the forecasting errors.) You don't have to calculate any statistical measures or indexes