**Instructions:** You can use this tool to compute Pearson’s correlation coefficient for two variables X and Y. All you have to do is type your X and Y data, either in comma or space separated format (For example: “2, 3, 4, 5”, or “3 4 5 6 7”).

**More about the correlation coefficient:**

The correlation coefficient calculated above corresponds to Pearson’s correlation coefficient. The requirements for computing it is that the two variables X and Y are measured at least at the interval level (which means that it does not work with nominal or ordinal variables).

The formula for Pearson’s correlation coefficient is:

\[r =\frac{n \sum_{i=1}^n x_i y_i – \left(\sum_{i=1}^n x_i \right) \left(\sum_{i=1}^n y_i \right) }{\sqrt{n \sum_{i=1}^n x_i^2 – \left( \sum_{i=1}^n x_i \right)^2} \sqrt{n \sum_{i=1}^n y_i^2 – \left( \sum_{i=1}^n y_i \right)^2} }\]or equivalently

\[r = \frac{\sum_{i=1}^n x_i y_i – \frac{1}{n}\left(\sum_{i=1}^n x_i \right) \left(\sum_{i=1}^n y_i \right) }{\sqrt{\sum_{i=1}^n x_i^2 – \frac{1}{n}\left( \sum_{i=1}^n x_i \right)^2} \sqrt{\sum_{i=1}^n y_i^2 – \frac{1}{n}\left( \sum_{i=1}^n y_i \right)^2}} = \frac{SS_{XY}}{\sqrt{SS_{XX}\cdot SS_{YY} }}\]