The quarterly sales data follow. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 76 units in the most recent year. The firm's owner wants to develop a forecast of plane sales for the coming year Year Quarter 1 | Quarter 2 Quarter 3 | Quarter 4 Total Yearly Sales 13 28 10 34 12 50 10 13 76 (2) Deseasonalize the data. [Round your answers to four decimal places.) Adjusted Year Quarter Sales Seasonal Deseasonalized Index Sales 1.2726 2 0.6125 0.4953 1.6197 1.2726 0.6125 3 0.4953 14 1.6197 10 1.2726 2 0.6125 3 0.4953 1.6197 12 1.2726 0.6125 0.4953 22 1.6197 18 1.2726 10 0.6125 5 0.4953 1.6197 numerical values to two decimal places.) Use the deseasonalized time series to identify the trend. (Let t = 1 denote the time series value in quarter 1 of year 1; & = 2 denote the time series value in quarter 2 of year 1; ... and t = 20 denote the time series value in quarter 4 of year 5. Round your (bj Use the results of part (a) to develop a quarterly forecast for next year based on trend. (Round your answers to two decimal places.) forecast for quarter 1 forecast for quarter 2 forecast for quarter 3 forecast for quarter 4 c) Use the adjusted seasonal iindexes given in part (a] to adj ed in part (b) to account for the effect of season. [Round your a newers to one decimal place.] forecast for quarter 1 forecast for quarter 2 arter 3 forecast for quarter 4