Provide the correct answer only. No explanation required.

Sort the following steps as they are executed by KNN for regression. Assume a single unseen instance. Compute the pair-wise distance between the unseen instance XO and the training data. Find the k smallest distances. Select the k instances in the training data corresponding to the k smallest distances to xo. Assign XO's output to the average output of the kinstances selected