Abstract
I investigate which professional baseball team statistics have the greatest correlation with regular season wins over the previous six full MLB seasons. This analysis is performed by gathering team-by-team season statistics to be utilized as explanatory variables (a full list is included below) and regress these against the dependent variable for each team, regular season wins. Through this analysis it is determined that a set of five of these variables can create a full regression model with a coefficient of determination of .882, implying that 88.2% of the variability in regular season win totals can be explained using these five team statistics. Power hitting has become a point of emphasis for team builders in recent years and this trend is supported by this analysis.
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