\fQuestion 1 Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Part Grader b c Orders MA(3) MA(5) Delivered Forecast Forecast 120 90 100 75 103 110 88 50 95 99 75 78 85 130 78 82 110 85 88 90 105 95 Nov Forecasts MA(3) = MA(5) = Value 110 91 Part d e Grader MAE MA(3) MA(5) Value 27.14 26.80 Part h i Grader f g MA(3) Error MA(5) Error Part Grader Is the time pattern stationary? (Yes or No) Time series plot 28 22 45 3 52 25 15 49 10 48 22 5 140 120 100 80 Orders Delivered 60 40 20 0 Jan Feb Mar Apr May Jun Month StatTools MA(3) MA(5) Confirm Best? Best? MA(5) Part j a Grader Part k.1. k.2. k.3. Part l Yes Time series plot 140 120 100 80 60 40 20 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Month Grader Grader alpha = Question 2 Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct 0.20 Part a c Grader Orders ES Delivered Forecast ES Error 120 120 0 90 120 0.333333 100 114 0.14 75 111 0.482667 110 104 0.054909 50 105 1.10336 75 94 0.255125 130 90 0.305327 110 98 0.106854 90 101 0.117742 Nov Forecast = Value 98 Part b Grader Value 0.29 Part d Grader MAPE Part e Grader Values LEAVE IT BLANK. Solver Results alpha = MAPE = Nov Forecast = f StatTools ES(alpha=0.2) Optimal ES Part g.1. g.2. Grader Metric alpha MAPE Part l Grader