Polynomial smoothing to estimate the derivative of a large sequence of sampled data requires the proper choice of the degree polynomial and the smoothing interval. Linear and cubic polynomial smoothing are compared. It is found that a linear polynomial will produce nearly the same first derivative as a cubic polynomial if the linear smoothing interval is properly chosen. A formula for the proper choice of the smoothing interval is derived. The technique is applied to a problem in meteorology and consistent results obtained.