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Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 Use a
Quarter | Year 1 | Year 2 | Year 3 |
1 | 4 | 6 | 7 |
2 | 2 | 3 | 6 |
3 | 3 | 5 | 6 |
4 | 5 | 7 | 8 |
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. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
- Value = (#) + (#) Qr1 + (#)Qtr2 + (#) Qtr3 + (#)t
- Compute the quarterly forecasts for next year. If required, round your answers to two decimal places. Quarter 1 forecast = ? Quarter 2 forecast = ? Quarter 3 forecast = ? Quarter 4 forecast = ?
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