Validation of a data fitting model involves several steps:
Residual Analysis: Examining the residuals to check for patterns. Goodness-of-Fit Tests: Using statistical tests such as R-squared and p-values. Cross-Validation: Dividing the data into training and test sets to evaluate model performance. Comparative Analysis: Comparing the fitted model with known theoretical or empirical models.
