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Linear regression calculator
Fit an ordinary least-squares line and report slope, intercept, and R².
Applied rule
Fits y = slope × x + intercept by unweighted ordinary least squares.
BoundaryA high R² does not prove the model is suitable; inspect residuals, design, uncertainty, and domain assumptions.
Result
Enter your own values or load the documented example, then run the local check.
This tool keeps input only in this page's component state. It does not upload, persist, log, or add your input or result to a URL. Anonymous analytics records only the fixed tool action and pathname.
Method source
NIST/SEMATECH e-Handbook of Statistical Methods. The source supports the underlying convention or review method; it does not endorse LabCrux.