This article discusses the inßuence extreme observations can exert on linear correlation between variables. It shows that standard p–values obtained according to ordinary least squares and median regression can be misleading. Bootstrapping can prevent underestimation of the standard error of the regression coefficient and therefore unmask the deceiving correlation.