Create dataframe X with features passengers and distance.

Create dataframe y with feature fare.

Split the data into $70\%$ training, $20\%$ validation and $10\%$ testing sets, with random$\_$state $=42.$

Initialize a linear regression model.

Fit the model with $15-$fold cross$-$validation to the training data, using 'explained$\_$variance' as the performance metric.

Print the explained variance for each fold.