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Baseball data for correlation and regression
This table shows the total number of runs scored, at bats, hits, etc for each of the 30 MLB teams for the 20092011 seasons.
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Correlations and linear regression models can be calculated between the different numeric variables. A good exercise is to see which variables correlate most strongly with runs_scored.
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As emphasized in the movie Moneyball, some of the classic metrics such as batting_avg is not as good as the newer metrics like OBP (on base percentage), SLG (slugging percentage), or OPS (on base plus slugging).
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A guide to a few of the variables that may not be self explanatory.
Runs_Scored: The total of all runs (points) the baseball team scored by the end of the season.
Batting_avg: This is equal to the number of hits divided by at_bats
OBP: On Base Percentage. Similar to batting average, except that it takes into account walks and hitbypitch. Some players who don't have high batting averages, manage to get walked quite frequently.
SLG: Slugging  This weights hits to first base as 1 point, hits to second base as 2 points, third as 3, homeruns as 4, and divides the total by the number of at bats.
OPS  On Base Plus Slugging  this is just OBP added to the SLG numbers.  mileschen  Apr 17, 2012  6KB  4454 
TitanicData.dat  mileschen  Apr 4, 2012  48KB  2104 
