A prediction interval is a type of confidence interval (CI) used with predictions in regression analysis; it is a range of values that predicts the value of a new observation, based on your existing model. ... A prediction interval is where you expect a future value to fall.

What is a prediction interval in statistics?

In linear regression statistics, a prediction interval defines a range of values within which a response is likely to fall given a specified value of a predictor.

What does the prediction interval tell us?

Prediction intervals tell you where you can expect to see the next data point sampled. ... Prediction intervals must account for both the uncertainty in estimating the population mean, plus the random variation of the individual values. So a prediction interval is always wider than a confidence interval.