6 In the multiple regression model, the assumption of no perfect collinearity is best described as:Select one:a. The explanatory variables will not be correlated at all.b. The explanatory variables will have correlation coefficients close to one.C. None of the explanatory variables will be an exact linear combination of the other explanatory variables.d. The dependent variable will not be correlated with the explanatory variables. The following equation reports a regression of the natural logarithm of the wages (lwage) of a sample of workers on the years of schooling(edu), years of work experience (exp), its square (exp²), and a dummy variable male which equals 1 if a person is male and 0 otherwise:Alwage=-0.305 +0.082exp – 0.032male * exp = 0.0025exp² +0.002male * exp² +0.153edu - 0.563male +0.012edu * maleAt what point another year of experience reduce lwage of a man? (round to the closest decimal)Input only a number, no explanation required.Answer:

In the multiple regression model, the assumption of no perfect collinearity is best described as: Select one: a. The explanatory variables will not be correlated at all. O b. The explanatory variables will have correlation coefficients close to one. C C. None of the explanatory variables will be an exact linear combination of the other explanatory variables. Od. The dependent variable will not be correlated with the explanatory variables.

In the multiple regression model, the assumption of no perfect collinearity is best described as: Select one: a. The explanatory variables will not be correlated at all. O b. The explanatory variables will have correlation coefficients close to one. C C. None of the explanatory variables will be an exact linear combination of the other explanatory variables. Od. The dependent variable will not be correlated with the explanatory variables.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4: Estimating Demand

Section: Chapter Questions

Problem 1E

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