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

Answers

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.

correlationis a causative association between two or more variables, whereas anautocorrelationis a correlation of variables in successive ranges.## What is correlation?

correlationis defined as a causative association between two or more variables (different variables), which can be used to make predictions about a given outcome.correlation coefficientenables the estimation of this association between different variables.autocorrelationis a special type of correlation between variables that can be found in successive ranges (e.g. range time intervals).correlationis a causative association between two or more variables, whereas anautocorrelationis a correlation of variables in successive ranges.correlationhere: