1) Solve by hand (show your work) Given a simple one-parameter hypothesis: = hat = Ox data set {(0,0), (1, 2), (2,4)} = {(x" 4" ), (x" "), 2. } anually, calculate the following gradient parameters for iterations n=2 and 3. The first iteration is calculated for you: M M = X0 X =.2 ns1: vo) = x= (x8 Y) = 2x"[9 Y) } = (- 1)"(8 Y) 8.=0 Cinitialized) 7 = [8] Ye= [= 3 0,=1.33, 0(next) = 0(current) ave) VJ= -6.67 J=6.67 1) Solve by hand (show your work) Given a simple one-parameter hypothesis: = hat = Ox data set {(0,0), (1, 2), (2,4)} = {(x" 4" ), (x" "), 2. } anually, calculate the following gradient parameters for iterations n=2 and 3. The first iteration is calculated for you: M M = X0 X =.2 ns1: vo) = x= (x8 Y) = 2x"[9 Y) } = (- 1)"(8 Y) 8.=0 Cinitialized) 7 = [8] Ye= [= 3 0,=1.33, 0(next) = 0(current) ave) VJ= -6.67 J=6.67