Fit Quality Assessment

Fit Quality Assessment involves evaluating how well a mathematical model matches observed data. It helps determine whether the model accurately represents the underlying process. This assessment uses statistical tools, like measuring the differences between predicted and actual values, to quantify the fit. A good fit indicates the model reliably captures the data's trend, while a poor fit suggests it may need adjustments or a different approach. This process ensures that conclusions or predictions based on the model are trustworthy and meaningful.