Pearson Correlation Calculator

If you want to calculate a Pearson correlation online, just select two or more metric variables. Just try it out with the sample data.

If you want to use your own data, just copy it into the table above and then select the respective variables. The results of the calculated Pearson correlation will be displayed in the following form:

If the assumptions for a Pearson correlation are not met, you can either calculate a Spearman correlation or calculate the Kendall's tau. If you have a metric and a nominal variable with only two values, the point biserial correlation is calculated automatically.

Pearson Correlation

A Pearson correlation is a statistical measure of the strength and direction of the linear relationship between two metric variables. It measures the degree of association between two variables and indicates whether they are positively or negatively correlated.

The Pearson correlation can take values between -1 and 1. A value of -1 indicates a perfect negative correlation, where the more one variable decreases, the more the other variable increases. A value of 1 indicates a perfect positive correlation, where the more one variable increases, the more the other variable increases. A value of 0 indicates that there is no correlation between the variables.

Pearson r calculator

The Pearson r calculator gives you the Pearson's r correlation, also known as Pearson's correlation coefficient. Pearson r is a measure of the linear correlation between two variables X and Y. It ranges from -1 to +1, where:

• +1 indicates a perfect positive linear relationship,
• -1 indicates a perfect negative linear relationship, and
• 0 indicates no linear relationship.

The coefficient essentially measures the degree and direction of how the two variables linearly relate to each other. It's widely used in the fields of statistics, research, and more, to understand and quantify the strength of a relationship between variables.