Statistical Analysis System (SAS) Programming Certification 2025 – 400 Free Practice Questions to Pass the Exam

The command used to run a brief regression analysis in SAS is PROC REG. This procedure is specifically designed for performing linear regression analyses, allowing users to model the relationship between a dependent variable and one or more independent variables.

PROC REG provides users with various statistical outputs that help in understanding the model's performance, such as estimates of the regression coefficients, the R-squared value (which indicates the proportion of variance explained by the model), and significance tests for the coefficients. It also allows for diagnostics that can inform users about the validity of the assumptions inherent in regression models.

In contrast, the other options are intended for different types of analyses. PROC RANK is used to rank data and compute ranks for variables, which is not related to regression. PROC GLM is a more general procedure that can cover both regression and analysis of variance, but it is typically employed for more complex models involving multiple factors and interactions, rather than for brief regression analyses. PROC ANOVA specifically focuses on analyzing variance between groups and is not designed for modeling relationships like regression does. Thus, PROC REG is the most appropriate choice for executing a straightforward regression analysis.