How is Multiple Regression Applied in Catalysis Research?
To apply multiple regression in catalysis research, scientists collect experimental data on the performance of a catalyst under various conditions. This data includes measurements of the dependent variable (e.g., reaction rate) and the independent variables (e.g., temperature, pressure, and concentration). By fitting a multiple regression model to the data, researchers can quantify the relationship between these variables and make predictions about catalyst performance.
