Which of the following statement about R^2 is and adjusted-R^2 is correct? O a. O b. Both Statements A and B are correct The value of adjusted-R^2 can increase or decrease when additional variable is included in a regression model O c. An increase in the value of R^2 and adjusted-R^2 does not mean that the additional variable is included in a regression model O d. Statement B is correct but Statement A is incorrect

Which of the following statement about R^2 is and adjusted-R^2 is correct? O a. O b. Both Statements A and B are correct The value of adjusted-R^2 can increase or decrease when additional variable is included in a regression model O c. An increase in the value of R^2 and adjusted-R^2 does not mean that the additional variable is included in a regression model O d. Statement B is correct but Statement A is incorrect

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

Chapter5: Business And Economic Forecasting

Section: Chapter Questions

Problem 3E: Metropolitan Hospital has estimated its average monthly bed needs as N=1,000+9X where...

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Which of the following statements about the R-squared statistic of a linear estimation (or linear regression) is true? An R-squared statistic of 0.6 means the variation of the independent (explanatory) variable explains about 60% of the variation of the dependent variable. O An R-squared statistic of 0.6 means 60% the variation of the dependent variable cannot be explained by the variation of the independent (explanatory) variable. O An R-squared statistic of 0.6 means the variation of the dependent variable explains about 60% of the variation of the independent (explanatory) variable.
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If you included both time and entity fixed effects in the regression model which includes a constant, then: O a. you have perfect multicollinearity. O b. you can exclude the constant and one entity binary variable to estimate the model. you can exclude the constant and one time binary variable to estimate the model. O d. you can exclude one time binary variable and one entity binary variable to estimate the model. O e. All of the above. Of. None of the above.
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