Thomas Lumley • 6/28/2013

Two simple notes on error in regression models

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This technical article examines the nuanced meaning of 'error' in statistical regression. It distinguishes between true measurement errors in the dependent variable Y and the residuals from a linear model's prediction, using examples like economic data and pulmonary function tests. The discussion also covers the rationale behind the assumption of zero-mean errors and when this is a testable assumption versus a mathematical convenience.

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#data analysis #statistics #Regression
Two simple notes on error in regression models

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