Free Tools › Correlation Calculator

Correlation Calculator: Pearson and Spearman

Calculate Pearson's r or Spearman's rho from paired data, with the p-value, a 95% confidence interval and r². Already have r? Enter it with the sample size.

FreeNo account neededYour data stays in your browser

Coefficient
Data

Results

Pearson r0.978
95% CI0.909 to 0.995Fisher z transformation
t statistic13.413 (df = 8)
p-value (two-sided)< 0.001
Coefficient of determination0.957Share of variance explained (r²)
n10
Get new free research tools firstOccasional emails when we add tools and guides. No spam.

We only use your email to send these updates, never share it, and you can unsubscribe by replying to any email or writing to info@timelyscholar.com. Privacy Policy

How to Use the Correlation Calculator

  1. 1

    Choose the coefficient

    Pearson for linear relationships, Spearman for ranks.

  2. 2

    Enter the data

    Paste the two variables in the same order, or enter r and n.

  3. 3

    Copy the result

    An APA-style sentence with r, CI and p.

Pearson vs Spearman correlation

Pearson's r measures the strength of a linear relationship between two continuous variables. Spearman's rho is Pearson's r calculated on ranks, so it captures any monotonic relationship and is less affected by outliers.

Correlation does not imply causation, and r² tells you the share of variation in one variable associated with the other.

How it is calculated

Sources

Correlation Calculator: FAQ

What is a strong correlation?

It depends on the field; what matters is the confidence interval and whether the relationship is meaningful in context.

Related Free Tools