Use Cross Correlation to calculate and plot the correlations between two time series at different time periods apart. Plotting cross correlations can help you determine whether a series of data leads another series, and by how much.
For example, an environmental engineer uses cross correlation to measure the suspended sediment in the water at two locations of a river over 15 days. The engineer expects a correlation between the two locations. Because one location is farther downstream, the engineer expects that the correlation pattern is consistent with the time that is needed for water to move between the two locations.
To perform a cross correlation analysis, choose .
If you want to calculate the correlations within a single time series, use Autocorrelation function.