ANL317 Tutor-Marked Assignment Question 2 Below are the quarterly gross domestic product (GDP) data of country X from 1980 to 1989. Create a SAS Studio dataset/SAS Forecast Studio project for the analytics tasks below. Quarter GDP Quarter GDP 1980Q1 2650.1 1985Q1 3940.0 1980Q2 2643.9 1985Q2 3997.5 198003 2705.3 198503 4076.9 198004 2832.9 198504 4140.5 198101 2953.5 198601 4215.7 198102 2993.0 198602 4232.0 198103 3079.6 198603 4290.2 198104 3096.3 198604 4336.6 1982Q1 3092.9 198701 4408.3 198202 3146.2 1987Q2 4494.9 198203 3164.2 198703 4573.5 198204 3195.1 198704 4683.0 198301 3254.9 198801 4752.4 1983Q2 3367.1 1988Q2 4857.2 198303 3450.9 198803 4947.3 198304 3547.3 198804 5044.6 198401 3666.9 198901 5139.9 1984Q2 3754.6 1989Q2 5218.5 198403 3818.2 198903 5277.3 1984Q4 3869.1 1989Q4 5340.4 (a) Determine the trend of the series by applying linear regression for curve fitting. (10 marks) (b) Evaluate whether there are any seasonal effects in this time series by creating a new quarterly variable as the independent variable of a linear regression. (15 marks) (c) Combine the trend and seasonal variables that you have used in (a) and (b) to construct a joint linear regression model for the GDP. Comment on whether the findings regarding the trend and seasonal effects in (a) and (b) are still relevant in this joint effect model (20 marks)