Complete the function below so that it computes and for the univariate model, yx+yx+, given observations stored as NumPy arrays y[:] for the responses and x[:] for the predictor.

Test Cell:

def linreg_fit(x, y): "" "Returns (alpha, beta) s.t. ~ alpha*x + beta. """ from numpy import ones mlen (x) i assert len (y)--m ### YOUR CODE HERE return (alpha, beta) # Compute the coefficients for the LSD data: x, y - dfl'lsd_concentration', df'exam_score' alpha, betalinreg_ fit(x, y) print "alpha:", alpha) print("beta:", beta)