A. ststistical program in recommended. Consider the following time series dato. (a) Construct a time series piot. What type of pattern exists in the data? The time series plot shows a linear trend and a seascnal pattern in the data. The the series plot shows a linear trend and no seasonal pattern in the data. The time series plot shows a horitantal pattern, but there is also a seasohal pottert in the data. The time series plot shows a horitontal pattern and no seasonal pottern in the data. Use the foloning dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data. (Hlound your mumerical values to two decimal places.) x1=1 it quarter 1,0 otherwise: x2=1 if quarter 2,0 otherwise, x3=1 if quarter 3,0 etheraise C) Comovite the quarlefly forecasts for next year (Round your aowers to one decimal place.) Quartee 1 forecast quarter 2 forecabt Quarter a forecas quarter 4 forecast