61. for This problem, you can create a model 'reg4' that is similar to 'reg3' but 'Cylinder' as a new predictor in 'reg4'. You need to use a train/test with random_state = 0 and fit the training model to the training data. Use Python

Your output should look like this:

LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False