hello, I tried this problem but seem to have a mixed result, can someone assist? I did my calculations in excel

Problem: Starbucks has a large, global supply chain that must efficiently supply over 17,000 stores. Although the stores might appear to be very similar, they are actually very different. Depending on the location of the store, its size, and the profile of the customers served, Starbucks management configures the store offerings to take maximum advantage of the space available and customer preferences.

Starbucks actual distribution system is much more complex, but for the purpose of our exercise lets focus on a single item that is currently distributed through five distribution centers in the United States. Our item is a logo-branded coffeemaker that is sold at some of the larger retail stores. The coffeemaker has been a steady seller over the years due to its reliability and rugged construction. Starbucks does not consider this a seasonal product, but there is some variability in demand. Demand for the product over the past 13 weeks is shown in the following table. (week 1 is the week before week 1 in the table, 2 is two weeks before week 1, etc.).

Management would like you to experiment with some forecasting models to determine what should be used in a new system to be implemented. The new system is programmed to use one of two forecasting models: simple moving average or exponential smoothing.

WEEK	5	4	3	2	1	1	2	3	4	5	6	7	8	9	10	11	12	13
Atlanta	35	34	33	58	32	32	46	35	33	54	30	20	58	46	35	26	57	42
Boston	58	29	49	45	33	34	33	45	42	46	49	55	21	64	45	33	43	53
Chicago	53	24	62	40	40	45	33	26	50	47	65	65	30	25	95	34	44	48
Dallas	36	30	34	55	40	28	28	35	38	47	60	68	62	45	40	35	46	43
LA	42	42	46	38	36	36	42	44	46	46	66	42	35	39	42	45	50	50
Total	224	159	224	236	181	175	182	185	209	240	270	250	206	219	257	173	240	236

a. Consider using a simple moving average model. Experiment with models using five weeks and three weeks past data. (Round your answers to 2 decimal places.)

5 week

3-week MA X Answer is complete but not entirely correct. Week ATL BOS CHI DAL LA Total 1 41.00 42.33 47.33 43.00 40.00 213.67 2 40.67 37.33 41.67 41.00 36.67 197.33 3 36.67 33.33 39.33 32.00 38.00 179.33 4 37.67 37.33 34.67 30.33 40.67 180.67 5 38.00 40.00 36.33 33.67 44.00 192.00 6 40.67 44.33 41.00 40.00 45.33 211.33 7 39.00 45.67 54.00 51.33 X 52.67 242.67 X 8 34.67 50.00 59.00 61.33 X 51.33 256.33 X 9 36.00 41.67 53.33 66.33 X 47.67 245.00 X 10 41.33 46.67 40.00 58.33 38.67 225.00 11 46.33 43.33 50.00 49.00 38.67 227.33 12 35.67 47.33 51.33 40.00 42.00 216.33 13 39.33 40.33 57.67 40.33 45.67 223.33 5-week MA X Answer is complete but not entirely correct. Week ATL BOS CHI DAL LA Total 1 38.40 42.80 43.80 40.80 x 40.80 206.60 x 2 37.80 38.00 42.20 39.20 39.60 403.40 X 3 40.20 38.80 44.00 37.00 39.60 396.40 X 4 40.60 38.00 36.80 37.20 39.20 391.40 x 01 35.60 37.40 38.80 33.80 40.80 378.20 6 40.00 40.00 40.20 35.20 42.80 384.60 X 7 39.60 43.00 44.20 43.40 X 48.80 417.20 X 8 34.40 47.40 50.60 51.40 x 48.80 451.60 X 9 39.00 42.60 51.40 56.80 x 47.00 469.40 X 10 41.60 47.00 46.40 58.20 45.60 475.60 x 11 37.80 46.80 56.00 56.80 x 44.80 481.00 X 12 37.00 43.60 49.80 50.00 40.60 463.20 X 13 44.40 41.20 45.60 45.60 42.20 440.00 X b. Evaluate the forecasts that would have been made over the 13 weeks using the overall (at the end of the 13 weeks) mean absolute deviation, mean absolute percent error, and tracking signal as criteria. (Negative values should be indicated by a minus sign. Round all answers to 2 decimal places. Enter "MAPE" answers as a percentage rounded to 2 decimal places.) X Answer is complete but not entirely correct. ATL BOS CHI DAL LA Avg of DCs 11.87 3-week MA MAD 11.56 9.95 17.74 12.36 X 7.77 MAPE 0.29 0.23 x 0.38 X 0.28 x 0.17 X 0.27 x TS 0.60 1.34 0.08 2.79 (0.22) 12.88 5-week MA MAD 10.23 9.97 17.01 7.42 11.50 MAPE 0.26 x 0.23 X 0.36 0.29 x 0.17 X 0.26 x TS (3.32) X 1.64 1.01 (0.11) 3.02