When applying K$-$NN for regression tasks, how are continuous outcomes predicted?

A$)$ By taking a weighted sum of all possible outcomes in the dataset.

B$)$ By averaging the outcomes of the k nearest neighbors, optionally weighted by distance.

C$)$ By selecting the outcome of the single nearest neighbor only.

D$)$ By using decision boundaries similar to classification tasks.