SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression
5h 3m + Hands-On Practice
Available in:
SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression
EGBS : 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.
Learn How To
- Generate descriptive statistics and explore data with graphs.
- Perform analysis of variance.
- Perform linear regression and assess the assumptions.
- Use diagnostic statistics to identify potential outliers in multiple regression.
- Use chi-square statistics to detect associations among categorical variables.
- Fit a multiple logistic regression model.
Who Should Attend
Statisticians and business analysts who want to use a point-and-click interface to SAS
Prerequisites
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 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 SAS Enterprise Guide 1: Querying and Reporting course.
SAS Products Covered
SAS Analytics Pro;SAS/STAT;SAS Enterprise Guide
Course Outline
Course Overview and Data Setup
- Introducing the course.
- Setting up the course data.
- Introducing the SAS Enterprise Guide 8 environment.
- Discussing fundamental statistical concepts.
- Examining distributions.
- Describing categorical data.
- Constructing confidence intervals.
- Performing simple tests of hypothesis.
- 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.
- Examining residuals.
- Investigating influential observations and collinearity.
- 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.
Live Class Schedule
Duration: 21 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
SOLD SEPARATELY
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.