ANOVA, Regression, and Logistic Regression using SAS^®

Duration: 3 days

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Description

This course is designed for SAS users with statistical experience who wish to perform statistical analyses using various SAS procedures. The course covers a range of statistical topics including statistical inference, analysis of variance, multiple regression, categorical data analysis, and logistic regression.

Objectives

This course is an excellent follow-on to the SAS^® Essentials: An Introduction to SAS^® Programming course for anyone using statistics in a business environment. It covers a range of introductory statistical topics and uses SAS to carry out analyses. Emphasis will be placed on the interpretation of the results.

After completing this course, you should be able to:

• construct graphs to explore and summarise data
• construct confidence intervals for means and test hypotheses
• perform one-way and two-way analysis of variance
• apply multiple comparison techniques
• fit simple and multiple linear regression models
• use diagnostic statistics in multiple regression
• summarise and perform analyses of categorical data.

Prerequisite Skills

Before attending this course, you should:

• be able to execute SAS programs and create SAS data sets. This knowledge can be gained by attending a SAS^® Essentials: An Introduction to SAS^® Programming course
• have an understanding of statistics including: p-values, hypothesis testing, analysis of variance and regression analysis, probably gained from an undergraduate course in statistics.

SAS^® System Modules used

Base SAS^®, SAS/STAT^® and SAS/GRAPH^®. Delegates can benefit from this course even if SAS/GRAPH^® is not installed at their site.

Course Topics

Introduction to Statistics

• examining data distributions
• obtaining and interpreting sample statistics using the UNIVARIATE and MEANS procedures
• constructing confidence intervals
• performing simple hypothesis tests

Analysis of Variance (ANOVA)

• performing one-way analysis of variance with the GLM procedure
• performing multiple comparisons
• performing two-way ANOVA with and without interactions

Regression

• producing scatter plots with the GPLOT procedure
• producing correlations with the CORR procedure
• fitting a simple linear regression model with the REG procedure
• 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 with the FREQ procedure
• examining tests for general and linear association
• understanding the concepts of logistic regression
• fitting a logistic regression model using the LOGISTIC procedure

Reserve your place on this Newtyne SAS Training Course