Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which takes on the value of 1 for males and is 0 otherwise, and another binary variable (“Female”) which takes on the value of 1 for female and is 0 otherwise. Because females typically earn less than males, you would expect:
Group of answer choices
autocorrelation or serial correlation to be a serious problem.
the estimated coefficient for Male to have a positive sign, and for Female to have a negative sign.
none of the OLS estimators to exist because there is perfect multicollinearity.
both coefficients to have the same distance from the constant, one above and the other below.
In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F-statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to:
Group of answer choices 4 0.5 2 6
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.
Group of answer choices 5; cannot 10; cannot 10; can 5; cannot
Ques 1:
none of the OLS estimators to exist because there is perfect multicollinearity.
Ques 2:
t2 = F
22 = 4 = F
Therefore, F= 4
Ques 3:
Therefore, we have
N = 120 , S = 0.5 and K = 1
Test statistic =
= 10
Answer is 10; cannot
Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which...
Question 27 3 pts Imagine that you regressed the earnings of individuals on a constant, a binary variable ("Male") which takes on the value of 1 for males and is o otherwise, and another binary variable ("Female") which takes on the value of 1 for female and is o otherwise. Because females typically earn less than males, you would expect: autocorrelation or serial correlation to be a serious problem. the estimated coefficient for Male to have a positive sign, and...
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 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
Utolbl 5 2) (15 points) You have obtainer male students (Student a binary variable (Female), which yields the following result: ints) You have obtained measurements of height in inches of 29 female and 81 dents (Studenth) at your university. A regression of the height on a constant and variable (Female), which takes a value of one for females and is zero otherwise, Studenth = 71.0 - 4.84xFemale, R2 = 0.40, SER = 2.0 (0.3) (0.57) (a) Calculate the average height...
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
Question 25 3 pts Suppose that the null hypothesis is that the medical treatment is not effective. Suppose that the medical treatment is truly effective, but a researcher does not reject the null hypothesis at the 5-percent level of significance. This researcher o is guilty of a post hoc ergo propter hoc fallacy. o has conducted a test with high statistical power. o has made a Type 1 error. o has made a Type 2 error. Question 26 3 pts...
Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be biased. the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients...
) You have collected 14,925 observations from the Current Population Survey. There are 6,285 females in the sample, and 8,640 males. The females report a mean of average hourly earnings of $16.50 with a standard deviation of $9.06. The males have an average of $20.09 and a standard deviation of $10.85. The overall mean average hourly earnings is $18.58. a. Using the t-statistic for testing differences between two means (section 3.4 of your textbook), decide whether or not there is...
In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F- statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 4 6 O 2 0.5
Question 28 3 pts In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F-statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 0.5 O 6 O 4 N