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.


Example

Specifying the Polynomial Regression Analysis

Analysis of Selected Variables

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