Define data using the following code: import numpy as np import pandas as pd from sklearn.linear_model import LinearRegression rng = np.random.default_rng (seed=12) A = rng.random((12,3)) df = pd.DataFrame(A, columns= ["x1","x2","y"]) The DataFrame df has three columns, x1, x2, and y. Assume you want to model the value in the y column using an equation of the form ya1x1 + a2x2 + b Estimate the value of a1 (the coefficient of x1), correct to two decimal places.