Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In the analysis of time series, a correlogram, also known as an autocorrelation plot, is a plot of the sample autocorrelations versus (the time lags). If cross-correlation is used, it is called a cross-correlogram. The correlogram is a commonly-used tool for checking randomness in a data set. This randomness is ascertained by computing autocorrelations for data values at varying time lags. If random, such autocorrelations should be near zero for any and all time-lag separations. If non-random, then one or more of the autocorrelations will be significantly non-zero.

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