Question: (a) Construct a time series plot. What type of pattern exists in the data? There appears to be a seasonal pattern in the data and

(a) Construct a time series plot. What type of pattern exists in the data? There appears to be a seasonal pattern in the data and perhaps a moderate downward linear trend. There appears be a downward linear trend but no seasonal pattern in the data. There appears to be a seasonal pattern in the data and perhaps a moderate upward linear trend. There appears be an upward linear trend but no seasonal pattern in the data. x1=1ifquarter1,0otherwise;x2=1ifquarter2,0otherwise;x3=1ifquarter3,0otherwisey^t=1+1x1+x2+x3 (c) Based on the model you developed in part (b), compute the quarterly forecasts for the next year. (Round your answers to the nearest ten.) quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast seasonal effects and any linear trend in the time series. (Round your numerical values to the nearest integer.) y^t= quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast (a) Construct a time series plot. What type of pattern exists in the data? There appears to be a seasonal pattern in the data and perhaps a moderate downward linear trend. There appears be a downward linear trend but no seasonal pattern in the data. There appears to be a seasonal pattern in the data and perhaps a moderate upward linear trend. There appears be an upward linear trend but no seasonal pattern in the data. x1=1ifquarter1,0otherwise;x2=1ifquarter2,0otherwise;x3=1ifquarter3,0otherwisey^t=1+1x1+x2+x3 (c) Based on the model you developed in part (b), compute the quarterly forecasts for the next year. (Round your answers to the nearest ten.) quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast seasonal effects and any linear trend in the time series. (Round your numerical values to the nearest integer.) y^t= quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast
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