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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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