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File:Chatterjee correlation coefficient examples.svg

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    English: Scatter plots of six simulated bivariate datasets (n = 250), each annotated with Pearson's r, Spearman's rho and Chatterjee's xi rank correlation coefficient computed from the sample. The panels illustrate that xi remains high for non-monotone functional relationships (quadratic, sinusoidal, absolute value) where r and rho are close to zero, and that xi is asymmetric in its arguments. Generated with Python/Matplotlib and NumPy; simulated data with fixed random seed.
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    Author MRockel

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    Date/TimeThumbnailDimensionsUserComment
    current21:18, 13 July 2026Thumbnail for version as of 21:18, 13 July 2026922 × 634 (101 KB)MRockel (talk | contribs)== {{int:filedesc}} == {{Information |description={{en|1=Scatter plots of six simulated bivariate datasets (n = 250), each annotated with Pearson's r, Spearman's rho and Chatterjee's xi rank correlation coefficient computed from the sample. The panels illustrate that xi remains high for non-monotone functional relationships (quadratic, sinusoidal, absolute value) where r and rho are close to zero, and that xi is asymmetric in its arguments. Generated with Python/Matplotlib and NumPy; simulate...

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