📈 Correlation Coefficient Calculator

Calculate Pearson and Spearman correlation between two variables

Enter paired data values for two variables. Each variable should have the same number of values.

How to Use

  1. Enter values for Variable X (separated by commas, spaces, or new lines)
  2. Enter corresponding values for Variable Y in the same order
  3. Ensure both variables have the same number of values
  4. Click "Calculate Correlation" to see both Pearson and Spearman correlations

Understanding Correlation

Correlation measures the strength and direction of the relationship between two variables.

  • Pearson (r): Measures linear relationship between variables. Best for normally distributed continuous data.
  • Spearman (ρ): Measures monotonic relationship using ranks. Better for non-linear relationships or ordinal data.
  • Range: Both coefficients range from -1 to +1
  • +1: Perfect positive correlation (as X increases, Y increases)
  • 0: No correlation
  • -1: Perfect negative correlation (as X increases, Y decreases)

Interpretation Guide

  • 0.00 - 0.19: Very weak correlation
  • 0.20 - 0.39: Weak correlation
  • 0.40 - 0.59: Moderate correlation
  • 0.60 - 0.79: Strong correlation
  • 0.80 - 1.00: Very strong correlation