Spearman Rank Correlation Calculator
Assess monotonic association using average ranks for tied observations.
Your result
MATHEnter your values and select calculate.
On this page How it works & practical examples
How to use the Spearman Rank Correlation Calculator
Keep paired rows together. Each variable is ranked independently, with tied values assigned the average of their occupied ranks.
The calculation
Worked example
Pairs (1,10),(2,20),(3,30) have rank correlation 1.
Assumptions and limits
Requires at least two pairs and variation in both ranked variables. It does not report a significance test, establish causation or detect every nonlinear relationship.
Common questions
Which inputs should I use?
Keep paired rows together. Each variable is ranked independently, with tied values assigned the average of their occupied ranks.
What does the result exclude?
Requires at least two pairs and variation in both ranked variables. It does not report a significance test, establish causation or detect every nonlinear relationship.