Problem 1: Given the following training data X and Y, derive the vector Wun using linear regression (to fit the given data). The number of features in each data point is 4 (d=4). Xo is not shown (always 1). X1=[3, 4.5, 6, 3.4] y= 60 Xz=(5, 7, 9, 5.2] Vz= 84 X3=[8, 10, 12, 7] y=120 X4=(1, 3, -4, 2] ya=16 Xs=[0, 4, 10,9] ys=125 Xs=(2, -2, 3, 1) Ve=34 Show your Wun and also each step in the derivation. You can use websites or software to compute matrix inverse if needed. Problem 1: Given the following training data X and Y, derive the vector Wun using linear regression (to fit the given data). The number of features in each data point is 4 (d=4). Xo is not shown (always 1). X1=[3, 4.5, 6, 3.4] y= 60 Xz=(5, 7, 9, 5.2] Vz= 84 X3=[8, 10, 12, 7] y=120 X4=(1, 3, -4, 2] ya=16 Xs=[0, 4, 10,9] ys=125 Xs=(2, -2, 3, 1) Ve=34 Show your Wun and also each step in the derivation. You can use websites or software to compute matrix inverse if needed