Correlation Significance Calculator: Is r Significant? p-Value, Confidence Interval and Critical r

Decide if a correlation is real or just chance.

Calculated from standard textbook formulas, with every step shown. The formulas are fixed, so the working does not need checking: what matters is the numbers you type in. Use these calculators only if you are competent to choose the inputs (loads, material strength, dimensions, supports) and check your units and assumptions. For learning and checking your own working: design and sign-off are for a qualified engineer. Drafting Central does not store the numbers you type.

How this calculator works

Enter the correlation coefficient and the number of pairs.

Choose the confidence level.

The calculator gives the t statistic, the p-value, the confidence interval and the critical r.

Formulas used

  • t = r\sqrt{\frac{n - 2}{1 - r^2}}
  • z = \operatorname{artanh}r,\ SE = \frac{1}{\sqrt{n - 3}}
  • r_c = \frac{t^*}{\sqrt{n - 2 + t^{*2}}}

Worked example

With the default numbers in the calculator above:

  1. Test statistic t for the null hypothesis that the true correlation is zero: 4.1021 with 23 degrees of freedom
  2. Two-tailed p-value: 0.0004365
  3. Confidence interval for the true correlation (Fisher's z transformation): 0.343 to 0.8316
  4. Smallest correlation that would be significant with this many pairs (two-tailed, at the same level): 0.3961
  5. Coefficient of determination: the share of the variation in y explained by x: 42.25 %

Change the numbers in the calculator to see the full working, every step, for your own case.

Common questions

How do I know if a correlation is significant?

Test it with t. If the p-value is below your significance level, the correlation is unlikely to be zero.

Does a significant correlation mean a strong one?

No. With many pairs, even a very weak correlation can be significant.

Does correlation mean causation?

No. Two things can be correlated because of a third factor or by coincidence.

Related calculators

Got a question about this? Ask an engineering question and get a plain-language answer with references.

Further reading: Any statistics text (inference for the correlation coefficient).

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