Regression analysis can be applied in several ways within the field of catalysis:
Linear Regression: Used when the relationship between the dependent and independent variables is assumed to be linear. This is useful for initial exploratory analyses. Multiple Regression: Involves more than one independent variable, allowing for the examination of the combined effect of several factors on catalyst performance. Non-Linear Regression: Applied when the relationship between variables is not linear. This is often the case in complex catalytic systems. Logistic Regression: Used when the dependent variable is categorical, helping to predict binary outcomes like whether a catalyst will be active or inactive under certain conditions.
