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\subsection{Question 9}  I believe I found the best predictor of runs from the batting11 collection. It is RBI,run batted in, and defined from wikipedia as a statistic used to "to credit a batter when the outcome of his or her at bat results in a run being scored". The Graph is shown in figure 7  below as RBI vs runs and one thing that is immediatley noticeable is how linear it is. The slope is 1.01, which is practically 1. This is interpretted as for every 1 RBI, on average the score increases by 1, which is a perfect line. Notice that $r^2=0.99$ and $r=0.99$. This says that this model explains $99\%$ of the variation. The r value reinforces how linear this graph is. This will predict runs almost perfectly. This makes sense in the context of question 6.I thought that if you hit a homerun, that is at least one run scored. RBI is measured the outcome that turns into a run and homeruns would be included in that statistic so im not suprised.