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?
t statistic for ACT = Coefficient / Standard error = 0.02/0.01 = 2
Since this value is less than the critical value of 2.5, we fail to reject the null hypothesis.
7. Suppose a data set of 150 observations (N =150) was analyzed using OLS to examine...
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?
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college. colgpa Grade point average in college (Range 0.85-3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa std. error 0.8 0.5 const hsgpa 0.1 R-squared: 0.854880 ,- a. (3%) write the equation for the least-squares regression line: b. (3%) The...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High colgpa-: Grade point average in college (Range 085-397 ) hsgpa High school GPA (Range 2.29-4.5) school GPA are expected to do better in college. Model 1: OLS, N 427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the ea ation for the least-squares regression line:...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA Students with higher High school GPA are expected to do better in college. colgpa = Grade point average in college (Range 0.85 -3.97) hsgpa = High school GPA (Range 2.29 -4.5) Expand Model 1: OLS, N=427 Dependent variable: colgpa coefficient std. error const 0.8 hsgpa 0.6 0.1 R-squared: 0.854880 a. Write the equation for the least squares...
Problem 7 A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. Students with higher High school GPA are expected to do better in college colgpa Grade point average in college (Range 0.85 3.97) hsgpa High school GPA (Range 2.29-4.5) Model 1: OLS, N -427 Dependent variable: colgpa coefficient 0.9 0.4 std. error const hsgpa 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y-...
A study of 427 college students was conducted to test whether high school GPA is a predictor of first-year college GPA. school GPA are expected to do better in college. Students with higher High colgpa-Grade point average in college (Range 0.85 -3.97) hsgpaHigh school GPA (Range 2.29-4.5) Model 1: OLS, N-427 Dependent variable: colgpa coefficient std. error const hsgpa 0.5 0.15 R-squared: 0.854880 a. (3%) Write the equation for the least-squares regression line: y- b. (396) The null hypothesis is:...
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
Question 4 (3 marks) Suppose that we are interested in the effects of skipping class on college GPA. Using data (GPA1.DTA), we obtain the following estimated model: colGPA - 1.39 + .412 hsGPA + .015 ACT - 083 skipped (.33) (094) 0.011) 0.026) - 141, R? - 234 (1) Using the standard normal approximation, find the 95% confidence interval for BreGPA. (ii) Can you reject the hypothesis Ho: BhoGPA = .4 against the two-sided alternative at the 5% level? (iii)...
Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 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. 5; cannot O 10; cannot 10; can 5; cannot
Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 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. O 5; cannot O 10; can 5; cannot 10: cannot Question 16 3 pts