) Homework. 1 Show that we can write as a covariance of $. (Yi {(xi-x) Vanance of = 362-3) (4-3) - Covariance Cy.x) ( (x + NIB E & Eprilon 2. If {(xi-x)=0. Then we could write {wi yi) where wi= xi-1 NB Wa omega, {(x2-x) In a higher dimensional data set (Wi) will have a different meaning sequivalent to the hat matrix which is a one by one hat matrix So from Y = P + xit Ei Show that, fut Envier (3 show that the expectation Ell / x ] - f and the romance b Var[ he lx ] = 8 EW2 8 {(al-sc 2 OV expected value g N/B 6 Sigma Sign ) Homework. 1 Show that we can write as a covariance of $. (Yi {(xi-x) Vanance of = 362-3) (4-3) - Covariance Cy.x) ( (x + NIB E & Eprilon 2. If {(xi-x)=0. Then we could write {wi yi) where wi= xi-1 NB Wa omega, {(x2-x) In a higher dimensional data set (Wi) will have a different meaning sequivalent to the hat matrix which is a one by one hat matrix So from Y = P + xit Ei Show that, fut Envier (3 show that the expectation Ell / x ] - f and the romance b Var[ he lx ] = 8 EW2 8 {(al-sc 2 OV expected value g N/B 6 Sigma Sign