please question 2 part b only complete

Q2. Logistic Regression (a) The following exercise is to show the mean square error for logistic regression is not a convex function. Recall, the cost function of logistic regression using the mean square error with one data (as, y) E R\" x R is EMSE(3) = (y - 3(3))2, where 32(0) = 0(0Tm) and 0(2) = 1 +le_z. (i) Show that a'(z) = a(z)(1 0(2)). (ii) Using (i), show that the Hessian matrix of EMS}; (i.e. second order partial derivative with respect to 91- and 03-) is given by HLMSEWM = 23mm; - 2(1 + y)3?(9) + 317(9)2)37(9)(1 - 17(9))- (iii) Show that H r: M SE (9)2};