25. Consider the following time series data: Quarter 1 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 6 8 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1= 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.

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25. Consider the following time series data:
Quarter
1
234
Year 1
4
4235
2
5
Year 2
6357
5
7
Year 3
7
6
6
8
a. Construct a time series plot. What type of pattern exists in the data?
b. Use a multiple regression model with dummy variables as follows to develop an
equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise;
Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise.
c. Compute the quarterly forecasts for next year.
Transcribed Image Text:25. Consider the following time series data: Quarter 1 234 Year 1 4 4235 2 5 Year 2 6357 5 7 Year 3 7 6 6 8 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.
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