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README.md
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tags:
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- evaluate
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- metric
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# Metric Card for Pearson Correlation Coefficient (pearsonr)
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tags:
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- evaluate
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- metric
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description: >-
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Pearson correlation coefficient and p-value for testing non-correlation.
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The Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumption that each dataset is normally distributed. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. Correlations of -1 or +1 imply an exact linear relationship. Positive correlations imply that as x increases, so does y. Negative correlations imply that as x increases, y decreases.
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The p-value roughly indicates the probability of an uncorrelated system producing datasets that have a Pearson correlation at least as extreme as the one computed from these datasets.
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# Metric Card for Pearson Correlation Coefficient (pearsonr)
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