SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

Duration: 3 Days

Audience
This Level II course is designed for SAS Enterprise Guide users who want to perform statistical analyses using SAS Enterprise Guide software, a point-and-click interface to the SAS System.

Course 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.

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 co linearity
Categorical Data Analysis
	describing categorical data
	producing frequency tables
	examining tests for general and linear association
	understanding the concepts of logistic regression

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.