Time Series Arima Models of Undergraduate Grade-Point Average

Abstract

The Box-Jenkins approach to time series analysis, a regression method analyzing sequential dependent observations, was used to select the appropriate stochastic model for describing undergraduate grade point averages. The technique, applied to approximately a half century of data from two universities, suggested that the moving average model provided the optimal fit. Suggestions were made for further exploration.