Pearson correlation coefficient

type of coefficient From Wikipedia, the free encyclopedia

Pearson correlation coefficient
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Pearson's correlation is a mathematical formula for calculating the correlation coefficients between two datasets. Most computer programs have a command to calculate this such as CORREL(dataset x: dataset y). The coefficient can be calculated by

  • Step 1: Find the mean of x, and the mean of y
  • Step 2: Subtract the mean of x from every x value (call them "a"), and subtract the mean of y from every y value (call them "b")
  • Step 3: Calculate: ab, a2 and b2 for every value
  • Step 4: Sum up ab, sum up a2 and sum up b2
  • Step 5: Divide the sum of ab by the square root of [(sum of a2) × (sum of b2)]
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Examples of scatter diagrams with different values of Pearson correlation coefficient (ρ).

Karl Pearson came up with the formula in the 1880s when he contributed to research in statistics.

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