Hi William,
Parametric Models and Goodness-of-Fit Statistics: https://www.mathworks.com/help/curvefit/evaluating-goodness-of-fit.html
Using the Curve Fitting Toolbox
The Curve Fitting Toolbox in MATLAB simplifies the process of fitting models to data and evaluating their goodness-of-fit. Here's a basic workflow:
- Fit a Model to Your Data: Use functions like fit to fit a curve or surface to your data.
- Evaluate the Fit: Use the goodnessOfFit function or access properties of the fitted model object to obtain R-squared, adjusted R-squared, RMSE, and SSE.
- Visualize the Fit: Utilize plotting functions to create visualizations that can help in assessing the fit.
Visualizations for Goodness-of-Fit:
- Plot of Residual
- Fit Plot
- Prediction Bounds
I hope it helps!
