Quarter Year 1 Year 2 Year 3 1. 5 2 1 2. 5 3 4 7 4 8 (a) Construct a time series plot. What type of pattern exists in the data? O The time series plot shows a linear trend and a seasonal pattern in the data. O The time series plot shows a horizontal pattern and no seasonal pattern in the data. O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a linear trend and no seasonal pattern 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. (Round your numerical values to three decimal places.) x, = 1 if quarter 1,0 otherwise; x, = 1 if quarter 2, 0 otherwise; x, = 1 if quarter 3, 0 otherwise ŷ = (c) Compute the quarterly forecasts for the next year based on the model you developed in part (b). (Round your answers to two decimal places.) quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast

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Quarter
Year 1
Year 2
Year 3
1.
5
2
1
2.
5
3
4
7
4
8
(a) Construct a time series plot. What type of pattern exists in the data?
O The time series plot shows a linear trend and a seasonal pattern in the data.
O The time series plot shows a horizontal pattern and no seasonal pattern in the data.
O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.
O The time series plot shows a linear trend and no seasonal pattern 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. (Round your numerical values to
three decimal places.)
x, = 1 if quarter 1,0 otherwise; x, = 1 if quarter 2, 0 otherwise; x, = 1 if quarter 3, 0 otherwise
ŷ =
(c) Compute the quarterly forecasts for the next year based on the model you developed in part (b). (Round your answers to two decimal places.)
quarter 1 forecast
quarter 2 forecast
quarter 3 forecast
quarter 4 forecast
Transcribed Image Text:Quarter Year 1 Year 2 Year 3 1. 5 2 1 2. 5 3 4 7 4 8 (a) Construct a time series plot. What type of pattern exists in the data? O The time series plot shows a linear trend and a seasonal pattern in the data. O The time series plot shows a horizontal pattern and no seasonal pattern in the data. O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a linear trend and no seasonal pattern 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. (Round your numerical values to three decimal places.) x, = 1 if quarter 1,0 otherwise; x, = 1 if quarter 2, 0 otherwise; x, = 1 if quarter 3, 0 otherwise ŷ = (c) Compute the quarterly forecasts for the next year based on the model you developed in part (b). (Round your answers to two decimal places.) quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
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