Consider the following time series data. (a) Construct a time series plot. What type of pattern exists in the data? The time series plot shows a horizontal pattern. The time series plot shows a linear trend. The time series plot shows a nonlinear trend. The time series plot shows a seasonal pattern. (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. b0=b1= (c) What is the forecast for t=6 ? A statistical program is recommended. Consider the following time series. (a) Construct a time series plot. What type of pattern exists in the data? 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. 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. (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. Y^= (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast