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Correlation measures the relationship between two variables.
Pearson correlation assesses linear relationships.
Spearman correlation evaluates rank-ordered variables.
Correlation does not imply causation.
Correlation coefficients range from -1 to 1.
Software like R, Python, and Excel can be used for correlation analysis.
Correlation is used in finance, healthcare, sports analytics, and more.
Partial correlation controls for a third variable. Autocorrelation is the correlation of a variable with itself over time.
Ethical reporting of correlation findings is crucial.