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. 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. 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.
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