Pearson Correlation Calculator

Your details

Enter your X (independent) variable values separated by commas or spaces. You need at least 3 pairs.
Enter the corresponding Y (dependent) variable values in the same order as X. Must have the same count as X.
The alpha level used to decide whether the correlation is statistically significant.
Pearson rStrong positive
0.9978

Correlation coefficient ranging from -1 (perfect negative) to +1 (perfect positive)

R-squared (r²)0.9956
t-statistic42.5958
P-value (two-tailed)0
95% Confidence interval0.9904 to 0.9995
Sample size (n)10
StrengthVery strong positive
SignificanceYes (p < 0.05)
0.9978 r
Strong negative<-0.7Moderate negative-0.7--0.4Weak negative-0.4--0.1None-0.1-0.1Weak positive0.1-0.4Moderate positive0.4-0.7Strong positive0.7+

r = 0.9978: very strong positive correlation.

  • r = 0.9978 indicates a very strong linear relationship (positive direction): as X increases, Y tends to increase.
  • R-squared = 99.6%, meaning X accounts for about 99.6% of the variation in Y.
  • The correlation is statistically significant at the 0.05 level (p = 0.0000), making it unlikely to be due to chance.
  • Correlation does not imply causation. A high r only tells you the two variables move together linearly, not that one causes the other.

Next stepConsider also running a simple linear regression to obtain the slope and intercept, and check a scatter plot for outliers or non-linear patterns.

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