An application of Durbin–Watson statistics to electrochemical science

Durbin–Watson statistics provide a means of determining whether adjacent/consecutive residuals related to a simple first-order regression are mutually interdependent, i.e. whether the postulated number of independent variables is sufficient for the sake of modeling. This paper shows three specific applications to linear models fitting electrochemical data.