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Secure https//blackboard.ncat.edu/webapps/as course assessment.jd 148268 18icourse.jid 3527019.18icontent.jd 2942966, 18ustepenull Question Completion Status QUESTION 3 10 points Save Answer If you had a two regressor regression model, then omitting one variable which is relevant O makes the sum of the product between the included variable and the residuals different from o o will have no effect on the coefficlent of the included variable Ii the correlation between the excluded and the included variable is negative will always bias the coefficient of the included variable upwards positive effect on Y if the omitted var uble were included O can result in a negative value for the coefficient of the included variable, even though the coefficient will have a significant QUESTION 4 10 points Save Answer in a two regressor regression model if you exclude one of the relevant variables then 0 you are no longer controlling for the influence of the other variable 0 the OLS estimator no longer exists O OLS is no longer unbiased, but still consistent O it is no longer reasonable to assume that the errors are homoskedastic 10 points Save Answer QUESTION An example of a quadratic regression model is @ . 60 + 1x + 62x2 + u Click Save and Submit to saue and submit. Click Save All Ansieers to save all ansvers Save and Submit Save All Answers 548 PM 1t/29/2017 ^ re to search

Explanation / Answer

3.D) if we omit one relevant variable then the result can be in a negative value for the coefficient of the included variable, even though the coefficient will have a significant positive effect on Y if the omitted were included.

4.A) if we exclude one of the relevant variables then we are no longer controlling for the influence of the other variable.
5.D)

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