Module description: A time series consist of values of a variable recorded, usually at regular intervals, over a long period of time.Such data usually require special methods for their analysis because the observations are dependent because of serial correlation. Time series analysis accounts for trend (or long term movement), short term fluctations about the trend (for example, due to autocorrelation) and deterministic cycles (seasonal components).