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 120.65 (thousand units). Fill in the missing values assuming there is no trend. Round seasonal indexes to 4 decimal places. Report Averages accurate toat most2 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	111	121	122		114		0.9764
Quarter 2	66	79	73	70	74
Quarter 3	88	92	94	101	91
Quarter 4	187	212		198	206		1.6511

PART B Suppose actual quarterly sales (in thousands) for Year 6 are 127, 75, 89, and 194 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 asintegersaccurate to thenearest 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 = %