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AUTOCORRELATION
CHARTS
The Autocorrelation Function
(ACF) is a tool for identifying dependence of current data on previous
data points. It tests for correlation (in this case, autocorrelation)
between observations of a given characteristic in the data set. You may
notice a similarity between the formulas used for the autocorrelation
function and the correlation index calculated in the Scatter Diagram.
The Scatter Diagram is used to test for correlation between observations
of different characteristics, while the ACF tests for correlation between
observations of the same characteristic.
See also:
SPC
Concepts
When
to Use an Autocorrelation Chart
Interpreting
an Autocorrelation Chart
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