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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)

  1. Value = (#) + (#) Qr1 + (#)Qtr2 + (#) Qtr3 + (#)t
  2. 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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