Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62 2 49 41 51 3 58 60 53 4 82 86 63 a. Construct a time series plot. 1 Quarter Value -80 -60 -40 -20 Quarter (t) 2 4 6 8 10 12 142 Quarter Value 80 60 40 -20 4 Quarter 6 8 (t) 10 12 14 3 Quarter Value 80 .60 .40 20 2 Quarter 6 (t) 8 10 12 144 Quarter Value -80 -60 -40 -20 Quarter (t) 4 6 8 10 12 14 - Select your answer - - Select your answer - Plot 1 sts in the data? Plot 2 Plot 3 Plot 4 Imy variables to develop an estimated regression equation to account for seasonal effects in the data: Qtrl = 1 if QWhat type of pattern exists in the data? - Select your answer - - Select your answer Horizontal my variables to develop an estima Vertical Quarter 2, 0 otherwise; Qtr3 = 1b. Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: Qtrl =1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 =1 if Quarter 3, 0 otherwise. Enter negative values as negative numbers. Y = + Qtr1 + Qtr2 + Qtr3 c. Compute the quarterly forecasts for next year. Quarter 1 forecast Quarter 2 forecast Quarter 3 forecast Quarter 4 forecast Hint(s) Check My Work (1 remaining)