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Consider the following quarterly time series. Quarter Year 1 Year 2 Year 3 1 923 1,112 1,243 2 1,056 1,156 1,301 3 1,124 1,124 1,254
Consider the following quarterly time series.
Quarter | Year 1 | Year 2 | Year 3 |
1 | 923 | 1,112 | 1,243 |
2 | 1,056 | 1,156 | 1,301 |
3 | 1,124 | 1,124 | 1,254 |
4 | 992 | 1,078 | 1,198 |
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 based on the model developed in part b.
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