Please check which statements are true regarding least squares gradient descent solving for linear regression parameters 0 and 1 : a) If 0 and 1 are initialized to a local minimum, the first step will take them away from this local minimum b) If our cost is increasing, we most likely need to increase . c) No matter how 0 and 1 are initialized, as long as is sufficiently small, we will converge to the global minimum