Question

Difference between autocorrelation and cross correlation

Answer 1

Answer:

Cross correlation is a measurement that tracks the movements of two variables or sets of data relative to each other. ... If independent variable X influences variable Y and the two are positively correlated, then as the value of X rises so will the value of Y.

The autocorrelation function is one of the tools used to find patterns in the data. Specifically, the autocorrelation function tells you the correlation between points separated by various time lags. ... The notation is ACF(n=number of time periods between points)=correlation between points separated by n time periods.