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Distinguish between a correlation and an autocorrelation. how are these measures similar? how are they different?

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luisvaschetto

A correlation is a causative association between two or more variables, whereas an autocorrelation is a correlation of variables in successive ranges.

What is correlation?

A correlation is defined as a causative association between two or more variables (different variables), which can be used to make predictions about a given outcome.

The correlation coefficient enables the estimation of this association between different variables.

Moreover, an autocorrelation is a  special type of correlation between variables that can be found in successive ranges (e.g. range time intervals).

In conclusion, a correlation is a causative association between two or more variables, whereas an autocorrelation is a correlation of variables in successive ranges.

Learn more about correlation here:

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