What are Some Real-World Applications of Multiple Regression in Catalysis?
Multiple regression has been applied in various real-world catalytic processes. For instance, in heterogeneous catalysis, it has been used to optimize the conditions for hydrocarbon cracking and oxidation reactions. In homogeneous catalysis, it helps in fine-tuning the parameters for polymerization and organic synthesis. By providing insights into the key factors affecting these processes, multiple regression aids in achieving better control and efficiency.
