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Calculate Pearson Correlation

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Computes two column's or row's linear relationship.

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Computes two column's or row's linear relationship. The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables in a set. Read more about pearson correlation on Wikipedia https://en.wikipedia.org/wiki/Pearson_correlation_coefficient

The Pearson correlation coefficient between variables X and Y in the sets [1, 2, 3, 4, 5] and [2, 4, 6, 8, 10] is 1 because they have a perfect positive linear relationship.

Essential for identifying linear relationships between variables, useful for forecasting and prediction.

  • Microsoft Excel: CORREL
  • Google Sheets: CORREL
  • Apple Numbers: CORREL
  • Python Pandas: df['column1'].corr(df['column2'], method='pearson')
  • Related Words: calculate Pearson correlation, find correlation

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