Adds a horizontal line to the scatterplot that represents the mean of the Y response variable.See Fit Mean.

Adds straight line fits to your scatterplot using least squares regression. See Fit Line and Fit Polynomial.

Fits polynomial curves of a certain degree using least squares regression. See Fit Line and Fit Polynomial.

Transforms Y and X. Transformations include: log, square root, square, reciprocal, and exponential. You can also turn off center polynomials, constrain the intercept and the slope, and fit polynomial models. See Fit Special.

Provides options that enable you to control the smoothness of the estimated regression curve. See Flexible.

Provides options for orthogonal regression fits, which are useful when X is assumed to vary. This option provides sub-options that reflect various assumptions about the variances of X and Y. See Fit Orthogonal.

Provides options that reduce the influence of outliers in your data set on the fitted model. See Robust.

Plots density ellipsoids for the bivariate normal distribution fit to the X and Y variables. See Density Ellipse.