Data Smoothing: Polynomial Regression: Data Smoothing: Polynomial Regression

Data Smoothing: Polynomial Regression

The Polynomial Regression analysis fits a low-order polynomial regression function to bivariate data by using ordinary least squares. This is a global parametric fit, whereas the other SAS/IML Studio smoothers are modern local nonparametric smoothers.

You can run a Polynomial Regression analysis by selecting Analysis $\blacktriangleright\,$ Data Smoothing $\blacktriangleright\,$ Polynomial Regression from the main menu. The computation of the regression function, confidence limits, and related statistics is implemented by calling the REG procedure in SAS/STAT. See the documentation for the REG procedure in the SAS/STAT User's Guide for additional details.

Note that general multivariate regression is available by selecting Analysis $\blacktriangleright\,$ Model Fitting $\blacktriangleright\,$ Linear Regression from the main menu.

Data Smoothing: Polynomial Regression

Example

Specifying the Polynomial Regression Analysis

Analysis of Selected Variables