If the data is actually linear or anything remotely resembling linear, then on distant points a linear model will do much better than a nearest-neighbor estimator. Whereas on nearby points, a nearest-neighbor estimator will do as well as a linear model given enough data. So on distant points nearest-neighbor only works if the curve is a particular shape (constant), while on near points it works so long as the curve has anything resembling local neighborhoods.