The movie Moneyball focuses on the quest for the secret of success in baseball. It follows a low$-$budget team, the Oakland Athletics, who believed that underused statistics, such as a players ability to get on base, betterpredict the ability to score runs than typical statistics like home runs, RBIs $($runs batted in$),$ and batting average. Obtaining players who excelled in these underused statistics turned out to be much more affordable for the team.In this lab well be looking at data from all $30$ Major League Baseball teams and examining the linear relationship between runs scored in a season and a number of other player statistics. Our aim will be to summarize these relationships both graphically and numerically in order to find which variable, if any, helps us best predict a teams runs scored in a season.The dataLets load up the data for the $2011$ season.load$("$more$/$mlb$11.$RData"$)$