Predictive and Specialized Modeling • Fit Curve
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Fit Curve
Fit Built-In Nonlinear Models to Your Data
In many situations, especially in the physical and biological sciences, well-known nonlinear equations describe the relationship between variables. For example, pharmacological bioassay experiments can demonstrate how the strength of the response to a drug changes as a function of drug concentration. Sigmoid curves often accurately model response strength as a function of drug concentration. Another example is exponential growth curves, which can model the size of a population over time.
The Fit Curve platform does not require you to specify starting values for parameter estimates or create model formulas. To specify your own starting values and create model formulas, use the more powerful custom Nonlinear platform, which can also fit any nonlinear model. For details, see the Nonlinear Regression topic.
Figure 11.1 Example of Nonlinear Fit in the Fit Curve Platform
Contents 
Overview of the Fit Curve Platform
Example Using the Fit Curve Platform
Launch the Fit Curve Platform
The Fit Curve Report
Fit Curve Options
Model Comparison Report
Model Fit Report
Model Fit Options
Test Parallelism
Compare Parameter Estimates
Equivalence Test
Statistical Details for the Fit Curve Platform
Model Formulas

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Help created on 7/12/2018