1. Understand Multiple Linear Regression: Learn how multiple independent variables can be used to explain and predict a single dependent variable effectively.

2. Analyse Parent-Child Height Data: Explore the Galton Families dataset to identify relationships between parent and child heights using statistical methods.

3. Interpret Regression Coefficients: Gain insights into the significance and impact of each independent variable in the multiple linear regression model.

4. Visualise Model Predictions: Use graphical tools to assess model accuracy and validate assumptions through residual and trend line plots.