Web Reference: The Pearson correlation coefficient [1] measures the linear relationship between two datasets. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. Jan 30, 2026 · Pearson Correlation is a statistical measure that quantifies the strength and direction of a linear relationship between two continuous numeric variables. Used to select features with strong linear relationships for predictive modeling. In this example we generate two random arrays, xarr and yarr, and compute the row-wise and column-wise Pearson correlation coefficients, R. Since rowvar is true by default, we first find the row-wise Pearson correlation coefficients between the variables of xarr.
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