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 
explanatory variables as
![\[ Y = b_0 + b_1 X_1 + b_2 X_2 + \ldots + b_ p X_ p \]](images/imlsug_ugfitreg0002.png){kind=small} |
where 
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.