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  1. The Correlation Calculator computes both Pearson and Spearman's Rank correlation coefficients, and tests the significance of the results. Additionally, it calculates the covariance. You may change the X and Y labels. Separate data by Enter or comma, , after each value. The tool ignores non-numeric cells. More options . Calculate. Clear.

  2. 18 Ιαν 2024 · 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!

  3. www.gigacalculator.com › calculators › correlation-coefficient-calculatorCorrelation Coefficient Calculator

    Rank correlation and linear correlation calculator. Outputs the covariance and the standard deviations, as well as p-values, z scores, confidence bounds and the least-squares regression equation (regression line).

  4. This calculator will tell you the significance (both one-tailed and two-tailed probability values) of a Pearson correlation coefficient, given the correlation value r, and the sample size. Please enter the necessary parameter values, and then click 'Calculate'.

  5. www.omnicalculator.com › statistics › pearson-correlationPearson Correlation Calculator

    This Pearson correlation calculator helps you determine Pearson's r for any given two variable dataset. Below, we explain what Pearson correlation is, give you the mathematical formula, and teach how to calculate the Pearson correlation by hand.

  6. 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.

  7. Correlation Calculator. Here you can calculate a correlation analysis directly online. Just try it with the sample data. If you want to calculate the correlation for your own data, just copy it into the table above. The results of the correlation analysis are clearly presented.