PART A The following table shows quarterly sales (in thousand units) for a product over 5 years. The overall sales average for the entire 5 years is 91.15 (thousand units). Fill in the missing values assuming there is no trend. Round seasonal indexes to 4 decimal places. Report Averages accurate to at most 2 decimal places. Report Actual sales ('000) accurate to the nearest integer.

	Year 1	Year 2	Year 3	Year 4	Year 5	Average	Seasonal Index
Quarter 1	72	69	67	69	64	68.2	0.7482
Quarter 2	146	136	147	140	144	142.60	1.5645
Quarter 3	66	75	69	76	71	71.4	0.7833
Quarter 4	86	84	83	81	78	82.4	0.904

PART B Suppose actual quarterly sales (in thousands) for Year 6 are 88, 161, 87, and 92 respectively. Assuming there is no trend, forecast sales for the four quarters of Year 6. Use seasonal indexes (rounded to 4 decimal places) from Part A. Report forecast answers as integers accurate to the nearest thousand. Quarter 1 forecast = thousand Quarter 2 forecast = thousand Quarter 3 forecast = thousand Quarter 4 forecast = thousand Calculate the mean absolute percent error (MAPE) for the four forecasts. Use the integer forecast values you reported above. Report MAPE as percent accurate to 2 decimal places. Do not round intermediate values. MAPE = %

I want to know the answer to PartB and how to calculate it. Quarter 1 Forecast =65 and Quarter 2 Forecast =251 are both incorrect.