kindly solve perfectly

{h} Consider a univariate linear regression model x] = Ex [where the intercept is zero}. and a cost function Jf) shown in the gure below. We use the gradient descent to try to iteratively approach the lowest cost. In the update process we ob- served an overshoot illustrated in the figure as moving from position A to position B. H3) 0f the following cases which will happen? [A] S will eventually diverge. [B] E will eventually converge. {C} 3 will go back and forth between the two positions A and 31 {D} E can proceed randomly in any direction. 3