Regression & paired data calculators

Explore covariance, correlation and fitted straight-line relationships.

Choose the right calculation

Pair observations in the same order and use equally long lists. A least-squares line describes a linear association; it does not establish causation or guarantee future values. Outliers and extrapolation can strongly affect interpretation.

Find a tool for your question

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Pearson Correlation Calculator

Measure linear association between two equal-length numeric datasets.

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Linear Regression Slope Calculator

Find the ordinary-least-squares slope for Y on X.

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Linear Regression Intercept Calculator

Find the intercept of an ordinary-least-squares Y-on-X line.

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Linear Regression Prediction Calculator

Predict a Y value from a fitted unweighted line and a chosen X value.

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Covariance Calculator

Calculate sample covariance of two paired datasets.

Can a high correlation prove that one variable causes the other?

No. Association can arise through confounding, selection, coincidence or a causal relationship. Correlation alone does not identify which explanation applies.