JMP 14.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13.2 Online Documentation
Fitting Linear Models
• Standard Least Squares Examples
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Standard Least Squares Examples
Analyze Common Classes of Models
This chapter provides examples with instructional material for several standard least squares topics. These include analysis of variance, analysis of covariance, a response surface model, a split plot design, estimation of random effect parameters, a knotted spline fit, and the identification of active factors using a script that provides a Bayesian approach.
Contents
One-Way Analysis of Variance Example
Analysis of Covariance with Equal Slopes Example
Analysis of Covariance with Unequal Slopes Example
Response Surface Model Example
Fit the Full Response Surface Model
Reduce the Model
Examine the Response Surface Report
Find the Critical Point Using the Prediction Profiler
View the Surface Using the Contour Profiler
Split Plot Design Example
Estimation of Random Effect Parameters Example
Knotted Spline Effect Example
Bayes Plot for Active Factors Example
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Help created on 1/2/2019