What is Prediction interval?
In [[statistics]] (particularly in predictive inference), a '''prediction interval''', or PI for short,<ref>{{Cite web|date=2020-04-26|title=List of Probability and Statistics Symbols|url=https://mathvault.ca/hub/higher-math/math-symbols/probability-statistics-symbols/|access-date=2020-10-14|website=Math Vault|language=en-US}}</ref> is an [[interval]] estimate in which future observations will fall, with a certain probability, given what has already been observed. Prediction intervals are often used in regression analysis and forecasting.<ref>{{Cite book|url=https://otexts.com/fpp2/|title=3.5 Prediction intervals {{!}} Forecasting: Principles and Practice}}</ref><ref>{{Cite web|title=3.3 - Prediction Interval for a New Response {{!}} STAT 501|url=https://online.stat.psu.edu/stat501/lesson/3/3.3|access-date=2020-10-14|website=PennState: Statistics Online Courses|language=en}}</ref> == Related pages == * [[Confidence interval]] == References == <references /> {{Statistics}} [[Category:Statistics]]