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What is the determination coefficient r2?
The determination coefficient r2 is also called the r square. This directs that how fine a data gets fitted with a model or statistical models. This may be sometimes are taken as lines or curves. This is particularly used in a statistical model to know the hypothesis testing or the outcomes of the future prediction. This is completely advantageous to the observers get the actual measurement of outcomes and how properly, these get replicated by a particular model. A model explains the outcome of total variation proportion.
Coefficient r2 or r square has a great value. In the observation of simple linear regression the coefficient use is r2 rather than R2. Correlation coefficient r2 is very simple and for small or sample correlation. But R2 is used to express correlation coefficient of multiple correlations. The value ranges between 0 and 1.
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