A prediction interval is a random interval designed to contain a future observation with prescribed repeated-sampling probability. Unlike a confidence interval for a mean response, it includes both uncertainty in the fitted mean and the new observation's irreducible random variation.
A prediction interval is a statistical range that is used to estimate the likely value of a single future observation based on a fitted model. It provides an interval that is expected to contain the actual value of that future observation with a specified level of confidence (e.g., 95% confidence).
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