Consider the seasonal data from the following data set below: Data File Here, the seasons are the "quarters" of each year. Run a regression using sales as the dependent variable, and time as the main independent variable, where te1 for Q 2 of 1999,t=2 for Q2 of 1999, and so on (there should be 60 time periodis in total). Lastly, properly control for the seasonality in the data using dummy variables, noticing that there are four seasons total (Quarters 1,2,3, and 4). Thus, you should have as your indepondent variables "lime", as well as the variables you used to control for seasonality. Rounding to the nearest hundreth (two decimal places), what is the entimated regression coeflicient on the time variable? Consider the seasonal data from the following data set below: Data File Here, the seasons are the "quarters" of each year. Run a regression using sales as the dependent variable, and time as the main independent variable, where te1 for Q 2 of 1999,t=2 for Q2 of 1999, and so on (there should be 60 time periodis in total). Lastly, properly control for the seasonality in the data using dummy variables, noticing that there are four seasons total (Quarters 1,2,3, and 4). Thus, you should have as your indepondent variables "lime", as well as the variables you used to control for seasonality. Rounding to the nearest hundreth (two decimal places), what is the entimated regression coeflicient on the time variable