mallory — regression

Linear or nonlinear regression over a spreadsheet-style (x, y) row list.

Linear is via @johnhenry/math's Statistics.linearRegression/correlation. Nonlinear fits any custom model you type (e.g. a*exp(b*x)) via Numerical.levenbergMarquardt -- a damped Gauss-Newton fit starting from the initial guess shown beside each parameter, with the fitted curve resampled and redrawn over the current view.

← back

This is a legacy demo page — try the new Data & Algebra

xy

y = 1.9900x + 0.0500 (r = 0.9987, r² = 0.9973)