A Daseball analyst would like to study various team statistics for a recent season to determine which variables might be useful in predicting the number of wins achieved by teams during the season. He begins by using a team's earned run average (ERA), a measure of pitching performance, to predict the number of wins. He collects the team ERA and team wins for each of the 30 teams in a two-league organization, with the accompanying results. Complete parts (a) through (I) below. a. Assuming a linear relationship, use the least-squares method to compute the regression coefficients bo and b,. + (Round to three decimal places as needed.) b. Interpret the meaning of the Y-intercept, bo, and the slope, b,, in this problem. Interpret the Y-intercept, if appropriate. Choose the correct answer below. O A. It is not appropriate to interpret the Y-intercept because it is outside the range of observed team ERAS. O B. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wins. OC. It is not appropriate to interpret the Y-intercept because a team cannot have a team ERA of 0. D. It is not appropriate to interpret the Y-intercept because a team cannot have 0 wins. OE. The Y-intercept indicates the predicted number of wins for a team ERA of 0. OF. The Y-intercept indicates the predicted team ERA for a team with 0 wins. Interpret the slope, if appropriate. Choose the correct answer below. O A. The slope indicates that for each additional win, the predicted team ERA is estimated to change by a value equal to b1. O B. It is not appropriate to interpret the slope because it is outside the range of observed wins. O C. It is not appropriate to interpret the slope because it is outside the range of observed team ERAS. O D. The slope indicates that for each increase of 1 unit in ERA, the predicted number of wins is estimated to change b