Note: The Fit Group menu appears if you have specified multiple Y or multiple X variables. Menu options allow you to arrange reports or order them by RSquare. See the Fitting Linear Models book for more information.
Attaches histograms to the x and yaxes of the scatterplot. A check mark indicates that histogram borders are turned on. See Histogram Borders.


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.


Fits a smoothing spline that varies in smoothness (or flexibility) according to the lambda (λ) value. The λ value is a tuning parameter in the spline formula.


Fits a value to each unique X value, which can be compared to other fitted lines, showing the concept of lack of fit.


Regression methods fit a curve through the points. The curve is an equation (a model) that is estimated using least squares, which minimizes the sum of squared differences from each point to the line (or curve). Regression fits assume that the Y variable is distributed as a random scatter above and below a line of fit.

