Regression

Regression requires a free account

AboutRegression

Model the relationship between two variables.Category: AI & Machine Learning

Estimating how much a marketing spend increase moves salesQuantifying the relationship between employee tenure and performance scoreTesting whether square footage reliably predicts property price

The Regression tool is compatible with:.Check Correlation first to confirm two columns actually move together, then use Regression to quantify that relationship with a fitted equation, or move to Forecast if the X variable is time.
This tool fits a least-squares regression line between an independent (X) and dependent (Y) numeric column, calculating the slope, intercept, and R² fit quality. Unlike Correlation, which only tells you the strength and direction of a relationship, Regression gives you an actual equation you can use to estimate Y for a new X value. It's the same underlying math that powers the CSV Forecast tool, but applied to any two variables rather than a value over time.

Frequently Asked Questions:

What kind of relationship does it model?

The relationship between two variables, letting you see how one tends to change as the other does.

Is this linear regression?

It models the relationship using standard regression techniques suited to two-variable analysis.

Handy for analysts who need a quick regression equation without opening a stats package or writing a numpy script.