4. (20%) Consider the following data containing 4 training data points consisting of two features x1 and 962 (so here N = 4, p = 2): Training Data #1 #2 #3 #4 X1 Feature 1) 2 1 3 4 _--- Our goal is to approximate y as (linear regression). y :3 50 + 51961 + 32962 a) (15 Points) Provide the equation which gives the values of g, 5 1, 5;. Provide the values 50, ,8 1, 5 2. b) (5 Points) Find the mean squared error (MSE) for the training data