What are the Steps Involved in Multiple Regression Analysis?
Data Collection: Gather experimental data on catalyst performance and the influencing factors. Model Specification: Define the multiple regression model, specifying the dependent and independent variables. Parameter Estimation: Use statistical software to estimate the coefficients of the regression model. Model Validation: Validate the model by checking the goodness-of-fit and performing diagnostic tests. Interpretation: Interpret the results to understand the impact of each independent variable on the dependent variable. Optimization: Use the model to optimize the conditions for the best catalyst performance.
