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Question 2. (a) Use Python to compute the weight vector w = [W, W1,W2]" for linear regression of N input data points (X;,y:) that minimizes the sum of squared error (wx - y)2 (use the method in slide 29 in lecture 2). The input data are X1=(1,3,2) y1= 3 X2=(1,2,2) y2 = 1 X3=(1,1,-1)" y3 = -1 X=(1,-1,-3) 4= -3 (b) Use the linearRegression module in Python package sklearn to find w for linear regression. Steps of the python code and intermediate results are needed (5 points)