Question
Explain why an error variable is added to the regression model. Distinguish between the error term (u) and the residual (û).
Answer :
Word Count : 250
An error variable is added to the regression model to account for the factors that influence the dependent variable but are not explicitly included among the explanatory variables. In real-world situations, it is impossible to include every relevant determinant of an ___ __________ __________ ___ ____ ______ ______ __________ ____ ___.
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An error variable is added to the regression model to account for the factors that influence the dependent variable but are not explicitly included among the explanatory variables. In real-world situations, it is impossible to include every relevant determinant of an ___ __________ __________ ___ ____ ______ ______ __________ ____ ___.
______ _________ ____ ____ ________.
______ ___ _________ __________ ____.
__________ _____ ______ ___ ___.
______ ____ ________ ________ _________ _________ __________ ____ _________.
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___ _____ _________ ____ ________ ____ _______ _____ ________.
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__________ _______ _________ __________.
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