Suppose a data set of 150 observations (N =150) was analyzed using OLS to examine the factors that influence college grade point average (GPA). The regression results are as follows:
log(colGPA)=5.5+0.5*hsGPA+0.02*ACT −0.08*skipped
(0.5) (0.1) (0.01) (0.03)
where the number in the parenthesis is the corresponding standard error. You want to test the following null hypothesis: the coefficient estimate for ACT=0. What is the t statistic? Suppose the critical value=1.6, would you reject the null hypothesis?
Suppose a data set of 150 observations (N =150) was analyzed using OLS to examine the factors tha...
7. Suppose a data set of 150 observations (N =150) was analyzed using OLS to examine the factors that influence college grade point average (GPA). The regression results are as follows: log(colGPA)=5.5+0.5*hsGPA+0.02*ACT −0.08*skipped. (0.5) (0.1) (0.01) (0.03) where the number in the parenthesis is the corresponding standard error. You want to test the following null hypothesis: the coefficient estimate for ACT=0. What is the t statistic? Suppose the critical value=2.5, would you reject the null hypothesis?
Suppose that you estimate a multiple regression model using OLS using a sample of 60 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is _______ and we ______ reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. 10; cannot 10; can 5; cannot 5; cannot
8. Practice constructing confidence intervals Suppose a data set of 30 observations (N-30) was analyzed using OLS to examine the factors influencing the participation rate of employees in a 401(k) retirement plan sponsored by their employer. The regression results are as follows, with standard errors in parentheses: prate = 80.1 + 5.6mrate + 0.046 age + 0.0001 totemp 0.s5) (0.04) (S.OR-5) where prate - percentage of eligible workers with a 401(k) plan mrate match rate for firm age - age...