JMP Software: ANOVA and Regression

Classroom duration: 2.0 days Live Web duration: 4 half-day sessions CEU: 1.2

This course is for analysts and researchers who want to analyze data with a single continuous response variable. Students learn to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.

Learn how to use JMP software to

perform a t-test
generate and interpret an analysis of variance
create and interpret simple and multiple linear regression models
perform an ANCOVA
evaluation assumptions in statistical hypothesis testing.

Who should attend

Analysts and researchers with some statistical training

Prerequisites

Before attending the course, you should complete the JMP Software: Statistical Data Exploration course or have equivalent experience.

Course Contents

Introduction to Statistics

reviewing populations and samples
exploring data with descriptive statistics and graphs
generating and understanding confidence intervals
conducting statistical confidence intervals

Comparing Means

analyzing a one-sample t-test
analyzing paired data
comparing two independent groups using a t-test

Analysis of Variance

fitting one-way ANOVA models
fitting one-way ANOVA models with a block
performing multiple comparisons
examining ANOVA assumptions
fitting N-way ANOVA models
using N-way ANOVA contrasts
analyzing power and sample size

Simple Linear Regression

using scatterplots and correlation statistics
performing simple linear regression
fitting polynomial regression models

Multiple Regression

performing multiple regression
performing stepwise regression
interpreting model fit statistics

Regression Diagnostics

examining model assumptions using residuals and other statistics
discovering multivariate outliers
investigating collinearity

Analysis of Covariance

fitting ANCOVA models with and without interactions

Software Addressed

This course addresses the following software product(s): JMP.

Classroom Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Live Web Course Materials

Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials, including the exercise files. Students need to download and print the course materials prior to class.

System Requirements

For Live Web, you must

review and follow the general system requirements.
complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- JMP Version 6, Microsoft Word, Microsoft Excel, ODBC Driver for Microsoft Excel (Setup Instructions)
  Tip: To ensure that your ODBC Driver for Microsoft Excel is installed and set up properly:
  1. Open JMP.
  2. From the JMP Starter window, click Open Data Table.
  3. Select the Files of type drop down list.
  4. Scroll through the file types until you see Excel Files (.xls).
    If Excel Files (.xls) is included in this list, then your machine is set up to use the ODBC driver for Excel.
    If Excel Files (.xls) is not listed, contact your system administrator for support.
Registration
To register for this course in the US, call 800-333-7660 or visit support.sas.com/training. This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to training@sas.com.