Analysis
Statistical analysis tools for exploring correlations, trends, and predictive metrics.
k_pct vs era
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What You're Looking At
This scatter plot shows the relationship between k_pct and era for all qualified pitchers. Each dot represents one pitcher's season.
How to Read It
R² tells you how strong the relationship is (0 = none, 1 = perfect). The "Norm. r" value is adjusted so positive always means "good with good" - if both stats being high (or both being low) is good for a pitcher, you'll see a positive value.
Why It Matters
Understanding which stats correlate helps identify what skills lead to success. Higher R² means one stat explains more of the other's variance. Positive normalized r means both stats move together in a "good" direction for pitchers.
What You're Looking At
This scatter plot shows the relationship between k_pct and era for all qualified pitchers. Each dot represents one pitcher's season.
How to Read It
R² tells you how strong the relationship is (0 = none, 1 = perfect). The "Norm. r" value is adjusted so positive always means "good with good" - if both stats being high (or both being low) is good for a pitcher, you'll see a positive value.
Why It Matters
Understanding which stats correlate helps identify what skills lead to success. Higher R² means one stat explains more of the other's variance. Positive normalized r means both stats move together in a "good" direction for pitchers.
Stats Most Correlated with era
Ranked by R² (variance explained). Norm. r shows direction: positive means both stats are "good" together. Click any row to view that correlation.