Quality Quandaries - Regression Analysis Applied to Happenstance Data

dc.contributor.authorBox, George
dc.date.accessioned2014-06-09T16:33:19Z
dc.date.available2014-06-09T16:33:19Z
dc.date.issued1996-10
dc.description.abstractCare is needed in interpreting results when regression analysis is applied to happenstance data. Although a fitted regression model may be useful for prediction of future values of a series, it may be totally misleading for explaining causation relationships between the variables. Furthermore, such analysis can be disastrously affected by lack of independence between residual errors.en
dc.identifier.urihttp://digital.library.wisc.edu/1793/69233
dc.titleQuality Quandaries - Regression Analysis Applied to Happenstance Dataen
dc.typeTechnical Reporten

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