Bias assessment in local regression

Local polynomial regression is a convenient method for smoothing scatterplots with readily available software. However, it well known that variable amounts of bias are induced by the operation. This article proposes simple visualization tool based on approximate confidence intervals which can alert data analyst to regions function domain might be susceptible unacceptably large levels bias, and possibly indicating need less automatic approach. A simulation study verifies accuracy bands, illustrated several real datasets.