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Appendix A JMP Starter 403
The Model Category
Figure A.4 JMP Starter Model Category
AThe JMP Starter
Fit Model Clicking the Fit Model button, or choosing Analyze > Fit Model, fits one or more y
variables to a model of x variables.
See “Introduction to Model Fitting,” “Standard Least Squares: Introduction,” “Standard Least
Squares: Perspectives on the Estimates,” “Standard Least Squares: Exploring the Prediction
Equation,” and “Standard Least Squares: Random Effects,” of JMP Statistics and Graphics Guide
for a detailed discussion of the Fit Model window and Fit Model analyses.
Screening Clicking the Screening button, or choosing Analyze > Modeling > Screening, helps
select a model to fit to a two-level screening design by showing which effects are large.
See the JMP Statistics and Graphics Guide for a detailed discussion of the Screening platform.
Nonlinear Clicking the Nonlinear button, or choosing Analyze > Modeling > Nonlinear, lets you
specify nonlinear models, which are models that are nonlinear in their parameters. You
orchestrate the fitting process as a coordination of three important parts of JMP: the data table,
the formula editor, and the nonlinear fit platform.
Details about the JMP data table and formula editor are in the chapters “Entering, Editing, and
Managing Data,” p. 47, “Reshaping Data,” p. 221, and “Formula Editor,” p. 285 in this book.
See the chapter “Nonlinear Regression” of JMP Statistics and Graphics Guide for more about
nonlinear fitting.
Time Series Clicking the Time Series button, or choosing Analyze > Modeling > Time Series,
looks at the relationship between a value and its lagged values. The data must be sorted and have