The Bivariate platform enables you to interactively fit models and view those fits on a scatterplot. You can compare multiple model fits on the same plot.
The Bivariate platform is launched from Fit Y by X when you have one or more continuous Y variables and one or more continuous X variables. The Bivariate Analysis platform initially shows scatterplots for each combination of X and Y variables. Use the scatterplots and red triangle options to interactively explore models for two continuous variables. You can fit a simple linear regression line to the data or you can fit more complex regression models. You can also explore density estimates.
Fitting option categories in the Bivariate platform include regression fits and density estimation.
Table 5.1 Bivariate Platform Fit Categories
|
Category |
Description |
Fitting Options |
|---|---|---|
|
Regression Fits |
Regression methods fit a model to the observed data points. The fitting methods include least squares fits as well as spline fits, kernel smoothing, orthogonal fits, transformations, and robust fits. |
Fit Mean Fit Line Fit Polynomial Fit Special Flexible Fit Orthogonal Fit Passing Bablok 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 |