01 Design matrix 1 Point For our multiple linear regression, we have p features and 'n. datapoints. Including a bias vector, what is the dimension of the design matrix? Onxp Onx(pl 1) Onxl Op+1 Save Answer 02 Constant Model 1 Point Select the optimal value 0 for our constant model 3} = 9 and MSE loss function: 0 0 = :E O 0 = median(y) 00:5 Save Answer 03 Geometric Interpretation of OLS 1 Point Which of the following are true statements for our multiple linear regression with datapoints as rows of design matrix X, label vector Y, and using the model Y 2 X9 ? The residual vector 6 = Y Y is orthogonal to every vector in X The residual vector 6 = Y Y is orthogonal to Y The residual vector 6 = Y Y is orthogonal to Y The optimal that minimizes the MSE is g = X_1Y The optimal that minimizes the MSE is g = (XTX)_1XTY Save