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The error of an estimate or prediction is its deviation from the true value, which may be unobservable (e.g., regression parameters), or observable (e.g., future realizations). Use the [error-message] tag to ask about software errors.

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The difference between total error, prediction error and fitted error via residual

Fitted error = $E(Y|X)-\hat{Y}$. Further, define residual = $Y-\hat{Y}$. Now, we have $Total \ error = Residual \ error + Fitted \ error$. … Therefore, the total error can be expressed as $Total \ error = Prediction \ error + 2 \times Fitted \ error$. Is the above derivation regarding errors, is right or wrong? …
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