Consider the following time series data.
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 =_____ +______ Qtr1 +_______ 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 =