This example demonstrates multiple linear regression using scikit-learn to model the relationship between vehicle features, such as engine size and fuel consumption, and CO2 emissions from the FuelConsumption.csv dataset. It splits the data into training and test sets, fits a regression model, and evaluates its performance. The notebook then uses the trained model to predict CO2 emissions for new input values, visualizing the results through Matplotlib plots.