In the field of catalysis, the rate of reaction and conversion efficiency often exhibit complex, nonlinear behaviors. Polynomial regression allows for a more accurate representation of these relationships compared to linear models. This is particularly important when optimizing catalysts or reaction conditions in order to achieve maximum efficiency and selectivity.
