1. Understand Interaction Terms: Gain insights into how predictors interact and influence outcomes in regression models, enhancing your analytical skills.

2. Learn Variable Selection Methods: Discover systematic approaches to identify the most relevant predictors for creating accurate and interpretable models.

3. Explore Regression Model Fit: Examine techniques to assess model performance and ensure a balance between simplicity and explanatory power.

4. Apply AIC for Model Comparison: Understand how to use Akaike Information Criterion to evaluate and compare models for optimal variable selection.