Enter X and Y values, one per line. Both must have the same number of values.
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Pearson correlation coefficient (r) measures the linear relationship between two variables, ranging from -1 to +1:
β’ |r| β₯ 0.8: Strong Β· |r| β₯ 0.5: Moderate Β· |r| β₯ 0.3: Weak Β· |r| < 0.3: Very weak / none
β’ r > 0: Positive correlation (both increase together)
β’ r < 0: Negative correlation (one increases as other decreases)
β’ r = 0: No linear correlation
β Correlation only measures linear relationships
β Outliers strongly influence the result
β Correlation does not imply causation