Differences
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Stat > Time Series > Differences

Differences computes the differences between data values of a time series. If you wish to fit an ARIMA model but there is trend or seasonality present in your data, differencing data is a common step in assessing likely ARIMA models. Differencing is used to simplify the correlation structure and to help reveal any underlying pattern.

Dialog box items

Series: Enter the column containing the variable for which you want to compute differences.

Store differences in: Enter a storage column for the differences.

Lag: Enter the value for the lag. The default lag value is 1.