This is an example of Linear Regression regarding BB% percentage versus Total Swing Rates for MLB Hitters. The Moral: 50% of BB% is tied to a change in baseball hitters overall swing rate. The more you swing at all balls, the less likely you are to walk. Common sense, but it gets more interesting with other studies and some multiple regression techniques.
The 2nd chart reflects the cost of a win projected in 2014. By and large, $5.5-7.5 million can buy you just 1 win in a season. Adjusted for time value, the cost diminishes some.
The 3rd chart (below) shows how relevant OBP on average is to obtaining Runs per game on average. Over 106 seasons, R/G R-squared is nearly 85% correlated to OBP. More charts to come!
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