Calculate the covariance between two paired data sets.
How It Works
How Covariance Calculator Works
Covariance measures whether two variables tend to move in the same direction (positive covariance) or opposite directions (negative covariance) — unlike correlation, its size isn't bounded between −1 and 1, so it's most useful for comparing direction rather than comparing strength across different data sets.
FAQ
Frequently Asked Questions
Why choose sample versus population covariance?
Use population covariance when your data represents an entire population, and sample covariance (which divides by one less) when your data is a sample meant to estimate a larger population — sample covariance is the more common choice in practice.
Why use correlation instead of covariance for comparing relationships?
Covariance's scale depends on the units of the original data, making it hard to compare across different data sets — correlation standardizes this into a fixed −1 to 1 scale, which is why it's used far more often for that purpose.
