Regression analysis is invaluable in establishing relationships between variables. Linear and non-linear regression models can predict catalytic performance based on input parameters, such as reactant concentration, temperature, and catalyst composition. This predictive capability is essential for optimizing reaction conditions and scaling up processes from the laboratory to industrial scale.
