C. The standard deviation of fitted values of the dependent variable.D. None of the above.12. According to the Gauss-Markov theorem, when is the OLS estimator said tobe BLUE?A. Another linear unbiased estimator has a smaller variance.B. Any non-linear estimator has a smaller variance.C. No other linear unbiased estimator has a smaller variance.D. None of the above.13. According to the "Law of Large Numbers", if a coin is flipped 1000 times,which of the following statements is true.A. The next flip as has 0.5 chance of being a "head".B. After 1000 flips the proportion of "heads" and "tails" should be similar.C. If 999th flip yields a "head", the 1000th flip should yield a "tail".D. All of the above.14. Why do we prefer the Adjusted R-squared to the R-squared?A. The R-squared is misleading when an insignificant variable is added?B. The R-squared imposes a penalty for any insignificant variable that is added to themodelC. The adjusted R-squared imposes a penalty for adding an insignificant dependentvariableD. None of the above15. Which one is an implication from normal equations?A. The independent variables are not related to the error termB. Regressors are insignificantC. Regressors are significantD. None of the aboveSECTION B: Answer ALL questionsQn1. Consider a Linear Regression Model Y₁ = Bo+₁x₁+₁ and the following dataentriesObservation Talk time consumption Monthly IncomeConstant112843121204811355614361341 4. Which of the following is used in model fit comparisons?A. Alkaike Information Criterion testB. The R-squared adjustedC. The Bayesian Information CriterionD. All of the above5. Dr. Musantu conducted an estimation between y (dependent variable) and x(independent variable) in Stata. He obtained 0.332 coefficient of x and standarderror of 0.021. What is the value of the t-statistic?A. 14.80901392B. 15.809C. 16.809D. None of the above6. Is the above regressor (in question 8) significant at 5% (which gives 1.96critical values) level of significance?A. NoB. Yes7. In a log-log regression model, what does the slope coefficient measure?A. The elasticity or percentage change of y with respect to a percentage change in x.B. The change in y which the model predicts for a unit change in x.C. The change in x which the model predicts for a unit change in y.D. 100 multiplied by the ratio y/x.0.021

Question

C. The standard deviation of fitted values of the dependent variable.D. None of the above.12. According to the Gauss-Markov theorem, when is the OLS estimator said tobe BLUE?A. Another linear unbiased estimator has a smaller variance.B. Any non-linear estimator has a smaller variance.C. No other linear unbiased estimator has a smaller variance.D. None of the above.13. According to the &#34;Law of Large Numbers&#34;, if a coin is flipped 1000 times,which of the following statements is true.A. The next flip as has 0.5 chance of being a &#34;head&#34;.B. After 1000 flips the proportion of &#34;heads&#34; and &#34;tails&#34; should be similar.C. If 999th flip yields a &#34;head&#34;, the 1000th flip should yield a &#34;tail&#34;.D. All of the above.14. Why do we prefer the Adjusted R-squared to the R-squared?A. The R-squared is misleading when an insignificant variable is added?B. The R-squared imposes a penalty for any insignificant variable that is added to themodelC. The adjusted R-squared imposes a penalty for adding an insignificant dependentvariableD. None of the above15. Which one is an implication from normal equations?A. The independent variables are not related to the error termB. Regressors are insignificantC. Regressors are significantD. None of the aboveSECTION B: Answer ALL questionsQn1. Consider a Linear Regression Model Y₁ = Bo+₁x₁+₁ and the following dataentriesObservation Talk time consumption Monthly IncomeConstant112843121204811355614361341 4. Which of the following is used in model fit comparisons?A. Alkaike Information Criterion testB. The R-squared adjustedC. The Bayesian Information CriterionD. All of the above5. Dr. Musantu conducted an estimation between y (dependent variable) and x(independent variable) in Stata. He obtained 0.332 coefficient of x and standarderror of 0.021. What is the value of the t-statistic?A. 14.80901392B. 15.809C. 16.809D. None of the above6. Is the above regressor (in question 8) significant at 5% (which gives 1.96critical values) level of significance?A. NoB. Yes7. In a log-log regression model, what does the slope coefficient measure?A. The elasticity or percentage change of y with respect to a percentage change in x.B. The change in y which the model predicts for a unit change in x.C. The change in x which the model predicts for a unit change in y.D. 100 multiplied by the ratio y/x.0.021

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