A statistical program is recommended. Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 13 15 16 2 11 12 15 3 12 14 15 4 14 16 17 (a) Construct a time series plot. 18T 18- 17- 17 16+ 16 15 15 14- 14 13 13 12 12- 11- 11 10- 10 9 9 1 2 3 4 1 2 3 4 1 2 3 4 Year 1 Year 2 Year/Quarter Year 3 e Series Value 18 17 16- 15 14 13 Type here to search 4712 3 JO 1 2 3 4 1 2 3 4 1 2 3 Year 1 Year 2 Year/Quarter Year W 3 Time Ser 10- 9 1234 1 234 1 2 3 4 Year 1 Year 2 Year 3 Year/Quarter What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a linear trend and no seasonal pattern in the data. O The time series plot shows a linear trend and a seasonal pattern in the data. O The time series plot shows a horizontal pattern and no seasonal pattern in the data. (b) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data. (Round your numerical values to two decimal places.) = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; X3 = 1 if quarter 3, 0 otherwise B 9- (c) Compute the quarterly forecasts for next year. (Round your answers to one decimal place.) quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast Need Help? Read It Submit Answer Viewing Saved Work Revert to Last Response 0 Type here to search D D 5:05 AM L3 72°F a la 4 4/19/2024