Regression Fits

Regression methods fit a curve to the observed data points. The fitting methods include least squares fits as well as spline fits, kernel smoothing, orthogonal fits, and robust fits.

Fit Mean

Fit Line

Fit Polynomial

Fit Special

Flexible

Fit Orthogonal

Robust

Density Estimation

Density estimation fits a bivariate distribution to the points. You can either select a bivariate normal density, characterized by elliptical contours, or a general nonparametric density.

Density Ellipse

Nonpar Density