Correlation Coefficient

The correlation coefficient is used to measure the strength of a linear association between two variables, where the value r = 1 means a perfect positive correlation and the value r = -1 means a perfect negataive correlation. So, for example, you could use this test to find out whether people’s height and weight are correlated (they will be – the taller people are, the heavier they’re likely to be).

Pearson’s correlation coefficient measures the strength and direction of the relationship between two variables. To begin, you need to add your data to the text boxes below (either one value per line or as a comma separated list).

When your data is in place, and you’re ready to do the calculation, just hit the “Submit” button, and the calculator will run various tests on your data – to make sure it is suitable for the Pearson statistic – and then produce the correlation coefficient, together with a lot of detail about the calculation.