Enterprise Guide : ANOVA Regression

Course Duration: 3 Days

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 Content
Audience & Prerequisites
Learning Methdology

Introduction to Statistics

examining data distributions

obtaining and interpreting sample statistics

describing categorical data

Inferences for the Mean

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

producing frequency tables

examining tests for general and linear association

understanding the concepts of logistic regression

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.

Prerequisites

Before attending this course, you should have completed an undergraduate course in statistics covering p−values, hypothesis testing, analysis of variance, and regression.

Online
Onsite
Classroom
Customized
Assessment

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Company: Edelweiss