Question 1:

Question 2:

Consider the following code for train and test variables, developed via jupyter notebook: In [42]: import pandas as pd df = pd.DataFrame(x_test) df['Y_test'] = Y_test df['Linear'] = y_pred print(df) = Explain your understanding about df and Linear. How Y_train differs from y_pred? Consider the following figure that shows the number of regions based on the average income: median_incone 1600 1400 1200 LOOO 900 600 400 200 0 10 12 14 Briefly describe the values of the Y-Axis. What is the value in X[3] before capping