A prediction interval in regression analysis is a range of values within which we expect a future individual observation of the dependent variable to fall, given a specific value of the independent variable.

A prediction interval is a range that estimates where a future individual data point is likely to fall, based on existing data and a chosen confidence level. Unlike a confidence interval, which predicts the average, a prediction interval accounts for more uncertainty and is used to forecast single outcomes.

The Prediction Interval in regression tells you the range where a single new value of y is likely to fall for a given x. It is wider than the interval for the average because individual values vary more.