Final Exam (Open-book) Wrte ALL answers in your blue book. Marital status has two categories "Married" and "Single". Race has four categories White", "Black", "His...
Final Exam (Open-book) Wrte ALL answers in your blue book. Marital status has two categories "Married" and "Single". Race has four categories White", "Black", "Hispanic" and "Asian". How many dummy variables will be needed in a regression if you want to categorize an individual based on marital status and race (separately, not jointly)? (Spts) A. Two. B. Three. C. Four. D. Five. E. Six. 1. Which of the following statement is true about heteroskedasticity? (Spts) 2. A. It affects the estimation of the parameters and the standard errors of the parameter estimates. B. It affects neither the estimation of the parameters nor the standard errors of the parameter estimates. C. It affects both linear regressions and non-linear regressions. D. None of the above. 3. Which of the following statement is true about Linear Probability Model? (5pts) A. It has a dummy on the left-hand side, and the dummy is interpreted as probability. B. It has dummies on the right-had side, and the dummies are interpreted as probability C. It can have dummies on both sides, and all the dummies are interpreted as probability. D. None of the above. 4. Which of the following statement is true about Linear Probability Model? (Spts) A. Since marginal effects are constant, the model is not widely used. B. Since marginal effects are not constant, the model is widely used. C. Although marginal effects are not constant, the model is still widely used. D. Since it is homoskedastic, it is a very useful model. E. Since it is heteroskedastic, it is not a very useful model. F. None of the above.
Final Exam (Open-book) Wrte ALL answers in your blue book. Marital status has two categories "Married" and "Single". Race has four categories White", "Black", "Hispanic" and "Asian". How many dummy variables will be needed in a regression if you want to categorize an individual based on marital status and race (separately, not jointly)? (Spts) A. Two. B. Three. C. Four. D. Five. E. Six. 1. Which of the following statement is true about heteroskedasticity? (Spts) 2. A. It affects the estimation of the parameters and the standard errors of the parameter estimates. B. It affects neither the estimation of the parameters nor the standard errors of the parameter estimates. C. It affects both linear regressions and non-linear regressions. D. None of the above. 3. Which of the following statement is true about Linear Probability Model? (5pts) A. It has a dummy on the left-hand side, and the dummy is interpreted as probability. B. It has dummies on the right-had side, and the dummies are interpreted as probability C. It can have dummies on both sides, and all the dummies are interpreted as probability. D. None of the above. 4. Which of the following statement is true about Linear Probability Model? (Spts) A. Since marginal effects are constant, the model is not widely used. B. Since marginal effects are not constant, the model is widely used. C. Although marginal effects are not constant, the model is still widely used. D. Since it is homoskedastic, it is a very useful model. E. Since it is heteroskedastic, it is not a very useful model. F. None of the above.