The effect of errors in the independent variables in linear regression

Abstract

Suppose that the independent variables in a linear regression are subject to error. This paper is concerned with the bias introduced into the least squares estimators by these errors, first when they are regarded as fixed and second when they are regarded as random. Simple criteria are introduced for deciding whether the bias is likely to be serious. The paper also considers the effect of the occasional large error in either the dependent or independent variables.