Earning the most points throughout the season is the goal of IndyCar racing. Points are how a driver wins championships and every decision a driver and team make throughout the course of a season should be centered around how they can maximize the number of points they’ll earn at the next race. Using the stats I tracked this IndyCar season, we can look at how correlated different stats are with earning points over the course of the season. Correlation is a measure of how strong or weak a relationship is between two variables. It can range from [-1,1], with -1 being a perfect strong negative correlation, 1 being a perfect strong positive correlation, and 0 meaning there is no correlation between the variables. If the correlation between two variables is 1, that means when variable x goes up, so does variable y. If the correlation is -1, that means that when variable x goes up, variable y goes down.