1d) Now, let's make a new feature called 'weight_norm' which is weight normalized by the mean value. [5 pts]

Run training with polynomial models with polynomial degrees up to 20. Print out each polynomial degree and ????2 value. What do you observe from the result? What are the best_degree and best_r_qaured just based on ????2 value? Inspect model summary from each model. What is the highest order model that makes sense (fill the value for the sound_degree)?

Note: For N-degree polynomial fit, you have to include all orders upto N. Please use statsmodel