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What do you understand by the term determination coefficient R2?
It is a number that determines how a data can fit well in a statistical model, a curve or a line. In this context, it is basically the future outcomes that needs to be predicted or tests of hypotheses. This calculation is based on all the related information. Through this, one can measure how well the model can replicate the observed outcomes as the model explains the variation of total outcomes.
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