(20 pt) Given a prediction model y[n] = 0+ x[n]? + 03 x[n]? + [n] with unknown parameter vector 6 = [0, 0, 03]and assuming independent and identically distributed noise & [n] with zero mean. Gven a sequence of N scalar input and output measurements x[1],...,x[N] and y[1],...,y[N], we want to compute the linear least squares (LLS) estimate n. Compute n- (20 pt) Given a prediction model y[n] = 0+ x[n]? + 03 x[n]? + [n] with unknown parameter vector 6 = [0, 0, 03]and assuming independent and identically distributed noise & [n] with zero mean. Gven a sequence of N scalar input and output measurements x[1],...,x[N] and y[1],...,y[N], we want to compute the linear least squares (LLS) estimate n. Compute n