Chris Spencer edited Question 101.tex  about 10 years ago

Commit id: 057d9f1fc2894b120692c572bc4b578577e534d1

deletions | additions      

       

\subsection{Question 10}  Here I graphed OPS vs runs, where OPS is on-base percenatage + slugging percenatage. Sluggin percentage is total bases/at-bats. I believe the researchers were successful in finding better variables.It can be seen from the graph below that the relationship has a strong linear relationship and that this is the best predictor of runs. This graph give an $r^2=0.93$ and a $r=0/96$. This means this model is good at explaining variation and a strong linear relationship. The slope is$1.93*10^3$, so this means that every 1 increase in OPS, on average your runs will go up by the value of the slope. Considering how strong a linear relationship this is, this will predict runs very well.\\ well.