Consider the following time series.
Quarter | Year 1 | Year 2 | Year 3 |
---|---|---|---|
1 | 71 | 68 | 62 |
2 | 50 | 42 | 52 |
3 | 59 | 61 | 54 |
4 | 78 | 81 | 72 |
(a)
Construct a time series plot.
What type of pattern exists in the data?
The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.
The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.
The time series plot shows a horizontal pattern with no seasonal pattern present.
The time series plot shows a trend pattern with no seasonal pattern present.
(b)
Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data:
x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise.
=
(c)
Compute the quarterly forecasts for next year.
quarter 1 forecast =
quarter 2 forecast=
quarter 3 forecast =
quarter 4 forecast=
a)
The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.
b)
Applying multiple regression on above data from excel: data-data analysis: regression: |
y^ =77-10x1-29x2-19x3
c)
forecast for 1st qtr of next year = | 67 | ||
forecast for 2nd qtr of next year = | 48 | ||
forecast for 3rd qtr of next year = | 58 | ||
forecast for 4th qtr of next year = | 77 |
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