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In studying for multiple linear regression, I came across a comment that says that given a large sample, a F-statistic slightly larger than 1 could suggest there is some relationship between the response and the predictors. While, for a small sample size, we require a larger F-statistic to reject the no-relationship hypothesis.

What is the mathematical/algebraic reason for this? Also, is there a intuitive explanation for this?

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