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