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SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

Duration: 3.0 days
Course fee: $1,980
EPTO units: 3
CEUs: 1.8
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This course is designed for SAS Enterprise Guide users who want to perform statistical analyses.

Learn how to

Who should attend

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

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Prerequisites
Before attending this course, you should
  • have completed an undergraduate course in statistics covering p-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 Querying and Reporting Using SAS Enterprise Guide course.
Course Contents
Introduction to Statistics
  • examining data distributions
  • obtaining and interpreting sample statistics
  • constructing confidence intervals
  • performing simple tests of hypothesis
Analysis of Variance
  • performing one-way ANOVA
  • performing multiple comparisons
  • performing two-way ANOVA with and without interactions
Regression
  • producing scatter plots
  • producing correlations
  • fitting a simple linear regression model
  • understanding the concepts of multiple regression
  • building and interpreting models
Regression Diagnostics
  • examining residuals
  • investigating influence and collinearity
Categorical Data Analysis
  • describing categorical data
  • producing frequency tables
  • examining tests for general and linear association
  • understanding the concepts of logistic regression
Software
This course addresses SAS/STAT, SAS Enterprise Guide. This course also addresses Base SAS software and touches on SAS/GRAPH software. You benefit from this course even if SAS/GRAPH software is not installed at your location.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Course fee and EPTO units will differ for on-site training.

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