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Pearson Correlation Coefficient
Formula
The Pearson correlation coefficient measures the linear relationship between two variables, ranging from -1 (perfect negative) to +1 (perfect positive). A value near 0 indicates no linear relationship.
Correlation does not imply causation. Two variables may be correlated due to a third confounding variable or coincidence.
Common use cases:
- Exploring relationships between variables
- Feature selection in data science
- Validating measurement instruments
Frequently Asked Questions
Dr. David Park
Applied Mathematician, PhD Mathematics
David holds a PhD in Applied Mathematics from MIT. He has published research on numerical methods and computational algorithms used in engineering and scientific calculators.
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