JMP 14.0 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 Online Documentation
JMP 12 Online Documentation
Basic Analysis
•
Bivariate Analysis
• Flexible
Previous
•
Next
Flexible
Use the options in the Flexible menu to control the smoothness of the estimated regression curve.
•
Fit Spline uses a penalized least squares approach. Adjust the degree of smoothness using the parameter lambda. See
Fit Spline
.
•
Kernel Smoother is based on locally weighted fits. Control the influence of local behavior using the parameter alpha. See
Kernel Smoother
.
•
Fit Each Value calculates the mean response at each X value. See
Fit Each Value
.
Previous
•
Next
Help created on 7/12/2018