Consider the following time series. Quarter Year 1 Year 2 Year 3 1 70 67 61 2 50 42 52 3 59 61 54 4 79 82 73 (a) Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? The time series plot shows a horizontal 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, but there is also a seasonal pattern in the data.The time series plot shows a trend pattern with no seasonal pattern present. (b) Use a multiple linear regression model with dummy variables as follows to develop an 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. ŷ =   (c) Compute the quarterly forecasts for the next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast

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Consider the following time series.
Quarter Year 1 Year 2 Year 3
1 70 67 61
2 50 42 52
3 59 61 54
4 79 82 73
(a)
Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern?
The time series plot shows a horizontal 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, but there is also a seasonal pattern in the data.The time series plot shows a trend pattern with no seasonal pattern present.
(b)
Use a multiple linear regression model with dummy variables as follows to develop an 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.
ŷ =
 
(c)
Compute the quarterly forecasts for the next year.
quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast 
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