Which procedure would you use to perform regression analysis in SAS?

The procedure used to perform regression analysis in SAS is PROC REG. This procedure is specifically designed for linear regression modeling and allows you to analyze the relationship between one or more independent variables and a dependent variable by fitting a linear equation to observed data. It provides various options for diagnostics, statistical tests, and plots, which are essential for understanding the quality and significance of the regression model.

PROC GLM could also be used for regression analysis since it handles general linear models, including multiple regression; however, PROC REG is typically preferred for straightforward linear regression tasks due to its focused functionality and clearer output related to regression diagnostics.

PROC ANOVA is used primarily for analysis of variance, which tests for differences among group means, and is not the correct choice for performing regression. Similarly, PROC CLUSTER is intended for cluster analysis, which groups similar observations, thus unrelated to regression analysis.

Choosing PROC REG allows for a more specialized and efficient approach to performing regression analysis in SAS.