just need final answer in one hour
Question 6 1 pts What is the partial effect (ie holding other variables fixed) on median salary of moving up 10 places in the Law School Rankings? (eg going from 50 to 40) 2.8024% increase O 0.28024% increase 0.0028024 dollars increase 2.8024 % decrease Question 7 1 pts In the first regression what is the correlation between Isalary and the fitted values from the regression (closest answer)? O 0.9149 0 -0.9149 0.8371 -0.8371 Question 8 1 pts Suppose that instead of using salary in dollars I used salary in thousands of dollars and used the (natural logarthim) of that in place of Isalary? Which of the following statements would be correct concerning the effect on the coefficients when I replace Isalary with the log of medial salary in thousands? Only the intercept change O All coefficients will change None of the coefficients will changeare Only the slopes will change Question 9 1 pts Suppose that in place of GPA I use GPA as a fraction (ie. a 4.0 would be 1 and a 2.0 would be 0.5 etc). How would this affect the regression coefficients? Coefficient on new GPA variable will be 4 times the coefficient on the original GPA variable Coefficient on new GPA variable will be 0.25 times the original coefficient on GPA Intercept will be 4 times the original intercept No effect on any coefficients Question 10 1 pts Someone points out that GPA and LSAT are highly (but not perfectly) correlated. In view of this which of the following statements is correct? The standard errors on the coefficients of these two variables will be higher making it more difficult to get precise estimates of their coefficients. There is a violation of MLRM.3 The ZCM assumption is violated The random sampling assumption is violated Question 11 1 pts In the first Law School regression which of the variables are not significant at the 5% level? LSAT, GPA and age age OLSAT and GPA LSAT Question 6 1 pts What is the partial effect (ie holding other variables fixed) on median salary of moving up 10 places in the Law School Rankings? (eg going from 50 to 40) 2.8024% increase O 0.28024% increase 0.0028024 dollars increase 2.8024 % decrease Question 7 1 pts In the first regression what is the correlation between Isalary and the fitted values from the regression (closest answer)? O 0.9149 0 -0.9149 0.8371 -0.8371 Question 8 1 pts Suppose that instead of using salary in dollars I used salary in thousands of dollars and used the (natural logarthim) of that in place of Isalary? Which of the following statements would be correct concerning the effect on the coefficients when I replace Isalary with the log of medial salary in thousands? Only the intercept change O All coefficients will change None of the coefficients will changeare Only the slopes will change Question 9 1 pts Suppose that in place of GPA I use GPA as a fraction (ie. a 4.0 would be 1 and a 2.0 would be 0.5 etc). How would this affect the regression coefficients? Coefficient on new GPA variable will be 4 times the coefficient on the original GPA variable Coefficient on new GPA variable will be 0.25 times the original coefficient on GPA Intercept will be 4 times the original intercept No effect on any coefficients Question 10 1 pts Someone points out that GPA and LSAT are highly (but not perfectly) correlated. In view of this which of the following statements is correct? The standard errors on the coefficients of these two variables will be higher making it more difficult to get precise estimates of their coefficients. There is a violation of MLRM.3 The ZCM assumption is violated The random sampling assumption is violated Question 11 1 pts In the first Law School regression which of the variables are not significant at the 5% level? LSAT, GPA and age age OLSAT and GPA LSAT
