Question: explain why the crossvalidated R2 value being 0.05 lower than the fitted R2 value indicates that the model can predict (5%) of the variance less

explain why the crossvalidated R2 value being 0.05 lower than the fitted R2 value indicates that the model can predict (5%) of the variance less than it can fit

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