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The Correlation Calculator computes both Pearson and Spearman's Rank correlation coefficients, and tests the significance of the results. Additionally, it calculates the covariance.
Pearson Correlation Coefficient Calculator. The Pearson 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.
Correlation coefficient calculator quickly finds the values of several different correlation coefficients. If you wish, it will show you the intermediate steps of the calculations as well!
Use this correlation calculator to estimate the correlation coefficient of any two sets of data. The tool can compute the Pearson correlation coefficient r , the Spearman rank correlation coefficient ( r s ), the Kendall rank correlation coefficient ( τ ), and the Pearson's weighted r for any two random variables.
Use this calculator to determine the statistical strength of relationships between two sets of numbers. Click on the "Add More" link to add more numbers to the sample dataset. The co-efficient will range between -1 and +1 with positive correlations increasing the value & negative correlations decreasing the value.
This calculator enables to evaluate online the correlation coefficient from a set of bivariate observations.
Get the free "Correlation Coefficient Calculator" widget for your website, blog, Wordpress, Blogger, or iGoogle. Find more Statistics & Data Analysis widgets in Wolfram|Alpha.
Pearson correlation is useful for calculating the correlation between continuous variables. The correlation coefficients can be used to figure out if changes in one variable relate to changes in another variable.