Data Smoothing: Polynomial Regression |
Overview of the Polynomial Regression Analysis
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
Data Smoothing
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 software. See the documentation for the REG procedure in the SAS/STAT 9.3 User's Guide for additional details.
General multivariate regression is available by selecting Analysis
Model Fitting
Linear Regression from the main menu.
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