residuals -1 1 2 -2 -4 -3 -2 -1 0 1 loudness The correlation coefficient between energy and predicted energy is 0.6364, indicating a positive linear relationship between energy and predicted energy. Coefficient of determination (R^2) = 0.6364^2 = 0.4050 This value suggests that the model explains approximately 40.5% of the variance in energy. Do you think the simple linear regression model does a good job of predicting energy with loudness? If so, why do you think so and how could this model be used practically? What were the key takeaways that you would use to summarize the results to someone interested in music? If not, why isn't it an adequate model? Do you think there is still promise/things you can do to adjust the model so that it does a better job or is more adequate for predicting y (energy)?