The following data represents the winning percentage (the number of wins out of 162 games in a season) as well as the teams Earned Run Average. or ERA. The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect G) a good pitching staff and (ii) a good team defense. You are to investigate the relationship between a team's winning percentage - Y, and its Earned Run Average (ERA) - X. Winning Proportion - Y Earned Run Average (ERA) - X 0.623457 3.13 0.512346 3.97 0.635802 3.68 0.604938 3.92 0.51 851 9 4.00 0.580247 4.12 0.413580 4.29 0.407407 4.62 0.462963 3.89 0.450617 5.20 0.487654 4.36 0.456790 4.91 0.574047 3.75 (3) Using R-Studio, create a scatter-plot of the data. What can you conclude from this scatter-plot? .A. A. There is a positive linear relationship between a teams winning percentage and its ERA. A. B. There is not a linear relationship between the 3 teams winning percentage and its ERA. A. C. There is a negative linear relationship between a teams winning percentage and its ERA. (b) Use R-Studio to find the least squares estimate of the linear model that expressed a teams winning percentage as a linear function of is ERA. Use four decimals in each of your answers