SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression (EGBS)
Duration
3 days
Description
This course focuses on the following key areas: statistical inference, analysis of variance, multiple regression, categorical data analysis, and logistic regression. You learn to construct graphs to explore and summarize data, construct confidence intervals for means, test hypotheses, apply multiple comparison techniques in ANOVA, assess and correct collinearity in multiple regression, use diagnostic statistics to identify potential outliers in multiple regression, use chi-square statistics to detect associations among categorical variables, and fit a multiple logistic regression model.
Prerequisite Skills
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 Topics
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
Booking
Please contact the Education Team at SAS for the latest information on all SAS courses or to put your name on our specialised course waiting list.
