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Consider the following data containing 4 training data points

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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 fig, 5 1, 5;. Provide the values 50, ,8 1, 5 2.
b) (5 Points) Find the mean squared error (MSE) for the training data.

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