SAS(R) Enterprise Guide(R): ANOVA, Regression, and Logistic Regression

Course code: EGBS83

This course is designed for SAS Enterprise Guide users who want to perform statistical analyses. The course is written for SAS Enterprise Guide 8 along with SAS 9.4, but students with previous SAS Enterprise Guide versions will also get value from this course.
1 800 EUR

2 178 EUR including VAT

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Course dates

Starting date: Upon request

Type: Upon request

Course duration: 21 hours

Language: en

Price without VAT: 1 800 EUR


Type Course
Language Price without VAT
Upon request Upon request 21 hours en 1 800 EUR Register
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Target group

Statisticians and business analysts who want to use a point-and-click interface to SAS

Course structure

Course Overview and Data Setup

  • Introducing the course.
  • Setting up the course data.

Getting Started in SAS Enterprise Guide 8

  • Introducing the SAS Enterprise Guide 8 environment.

Introduction to Statistics

  • Discussing fundamental statistical concepts.
  • Examining distributions.
  • Describing categorical data.
  • Constructing confidence intervals.
  • Performing simple tests of hypothesis.

Analysis of Variance (ANOVA)

  • Performing one-way ANOVA.
  • Performing multiple comparisons.
  • Performing two-way ANOVA with and without interactions.


  • Using exploratory data analysis.
  • Producing correlations.
  • Fitting a simple linear regression model.
  • Understanding the concepts of multiple regression.
  • Building and interpreting models.
  • Describing all regression techniques.
  • Exploring stepwise selection techniques.

Regression Diagnostics

  • Examining residuals.
  • Investigating influential observations and collinearity.

Categorical Data Analysis

  • Describing categorical data.
  • Examining tests for general and linear association.
  • Understanding the concepts of logistic regression and multiple logistic regression.
  • Performing backward elimination with logistic regression.


  • Exploring additional resources.


Before attending this course, you should:
  • Be familiar with both SAS Enterprise Guide and basic statistical concepts.
  • Have completed an undergraduate course in statistics covering -values, hypothesis testing, analysis of variance, and regression.
  • Be able to perform analyses and create data sets with SAS Enterprise Guide software. You can gain this experience by completing the SAS Enterprise Guide 1: Querying and Reporting course.
  • Do you need advice or a tailor-made course?


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