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Overview of the Linear Regression Analysis

The Linear Regression analysis fits a linear regression model by using ordinary least squares. You can write the multiple linear regression equation for a model with p explanatory variables as

where Y is the response variable, the ’s are explanatory variables, and the ’s are regression coefficients.

You can run a Linear Regression analysis by selecting → → 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 User's Guide* for additional details.