Runs and Wins in Baseball Major League Baseball is split into two leagues, the National League (NL) and the American League (AL). The main difference between the two leagues is that pitchers take at bats in the National League but not in the American League. Two of the variables in the Baseball Hits2019 dataset are the number of wins and the number of runs scored during the season. The dataset consists of values for each variable from all 30 MLB teams. From these data we calculate the regression line: Wins = - 31.94 + 0.1443(Runs). Click here for the dataset associated with this question. (a) Which is the explanatory and which is the response variable in this regression line? The explanatory variable is runs and the response variable is wins. O The explanatory variable is wins and the response variable is runs. eTextbook and Media (b) Interpret the slope in context. O The expected change in number of wins given one more run. The expected number of wins given one run. O The expected number of runs given one win. O The expected change in number of runs given one more win. eTextbook and Media (c) The Houston Astros won a league-high 107 games while scoring 920 runs in 2019. Predict the number of games won by Houston using the regression line. Round your answer to one decimal place. Wins i Calculate the residual. Round your answer to one decimal place. Residual = Were the Astros efficient at winning games with 920 runs