The national football league (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the dataNFLPassingshows the conference (Conf), average number of passing yards per attempt (Yds/Att), the number of interceptions thrown per attempt (Int/Att), and the percentage of games won (Win%) for a random sample of 16 NFL teams for the 2011 season (NFL website, February 12, 2012). (1) Use the method of least squares to compute an estimated regression line to predict the percentage of games won given the average number of passing yards per attempt and the number of interceptions thrown per attempt. Explain the meaning of the coefficients of all independent variables.(2)Based on the estimated regression equation, what is the predicted percentage of games won given the average number of passing yards per attempt is 5 and the number of interceptions thrown per attempt is 0.045. (3)Determine whether or not the regression model is significant at = 0.05. Also determine, whether each of the independents variables are significant at = 0.05. (4) Create dummy variable for Conf. Use the method of least squares to compute an estimated regression line to predict the percentage of games won given the average number of passing yards per attempt and the dummy you create for Conf. In between the first and this second model, which one do you prefer and why?