Model with Interactions

This lecture covers the concept of models with interactions, focusing on minimizing the sum of squared errors and understanding the significance of different factors in the model. It explains how to incorporate new parameters and factors, as well as the importance of interaction terms in the model. The lecture also discusses the division of sum of squares between factors and residual error, emphasizing the interpretation of F-values to determine the importance of each factor.