# R-Square

From Survey Analysis

A measure of the extent to which there is a correspondence between the observed values of a Dependent Variable and the predicted values from a Predictive Model. There are two commonly-used and equivalent ways of computing the variance:

- The ratio of the varianceof the predicted values to the variance of the observed values. (This formula only works where the predicted values are, in some sense, optimal.)
^{[note 1]} - The square of the Pearson's Product-Moment Correlation coefficient.

## Also known as

- R-Squared
- Proportion of variance explained.

## See also

## Notes

- ↑ For example, Maximum Likelihood estimates.

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