Statistical Report on Run Scoring In Baseball

My regression is much improved from before. Not only are my basic hit and out coefficients more expected, and a b coefficient close to 0, but almost all of my data has been proven statistically significant. Also, 95.1% of runs scored over the last 41 years can be explained using my regression model, a very high amount. However, odd figures still jump out at me.

One striking figure is how suddenly, sacrifice hits have a coefficient of nearly 0, and no statistical significance. This could be a result of the difference in times from now and 40 years ago, when low scoring games and small ball was much more common and efficient than in modern times.

The more pressing issue, however, continued to be my stolen base category. While both SB and CS show statistical significance (absolute value of their t scores are both over 2), the ratio of the two coefficients are odd. Overall, the coefficients seem to suggest that a 45% stolen base ratio helps a team in the long run.

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