What are the Challenges in Using Regression Analysis in Catalysis?
While regression analysis is a valuable tool, it comes with its own set of challenges:
Data Quality: Poor quality or insufficient data can lead to unreliable models. Overfitting: Creating a model that is too complex can lead to overfitting, where the model performs well on training data but poorly on new data. Multicollinearity: When independent variables are highly correlated, it can make it difficult to determine the individual effect of each variable. Interpretability: Complex regression models can be difficult to interpret, making it challenging to derive meaningful insights.
