Question: Consider the following time series data. table [ [ Quarter , Year 1 , Year 2 , Year 3 ] , [ 1 ,

Consider the following time series data.
\table[[Quarter,Year 1,Year 2,Year 3],[1,5,7,8],[2,1,2,5],[3,2,4,5],[4,6,8,9]]
(a) Construct a time series plot. What type of pattern exists in the data?
The time series plot shows a horizontal pattern and no seasonal pattern in the data.
The time series plot shows a linear trend and a seasonal pattern in the data.
The time series plot shows a linear trend and no seasonal pattern in the data.
The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data.
x1=1 if quarter 1,0 otherwise; x2=1 if quarter 2,0 otherwise; x3=1 if quarter 3,0 otherwise
hat(y)t=
(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
hat(y)t=
(e) Compute the quarterly forecasts for the next year based on the model you developed in part (d).(Round your answers to two decimal places.)
quarter 1 forecast
quarter 2 forecast
quarter 3 forecast
quarter 4 forecast
 Consider the following time series data. \table[[Quarter,Year 1,Year 2,Year 3],[1,5,7,8],[2,1,2,5],[3,2,4,5],[4,6,8,9]] (a)

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