This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. You learn how 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
 Interpret confidence intervals.
 Perform hypothesis tests.
 Compare multiple population means with oneway ANOVA.
 Use simple linear regression to analyze relationships between continuous variables.
 Use the general linear model to build models between a continuous response and any number of continuous or categorical predictors.
 Assess interactions between factors and curvature.
 Evaluate assumptions of statistical hypothesis testing.
Who should attend
Analysts and researchers with some statistical knowledge
Formats available  Duration   
Live Web Classroom: 
4 halfday session(s) 
eLearning: 
14 hours/180 day license 

Before attending the course, you should complete the JMP® Software: A Case Study Approach to Data Exploration course or have equivalent experience.
This course addresses JMP software.