Homework Answers
Because both the variablles show the same thing, there is severe multicollinearity in the model.
Hence the correct option is
nonne of the OLS estimators to exist because there is perfect multicollinearity.
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Question 27 3 pts Imagine that you regressed the earnings of individuals on a constant, a...
Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which...
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...
Question 25 3 pts Suppose that the null hypothesis is that the medical treatment is not...
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...
Utolbl 5 2) (15 points) You have obtainer male students (Student a binary variable (Female), which...
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...
) 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...
) 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...
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient...
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: omitted variable bias. o serial correlation. spurious regression. o multicollinearity.
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient...
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: O multicollinearity. omitted variable bias. O serial correlation. spurious regression. 3 pts Question 9
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X....
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let AHE = average hourly earnings (in 2005 dollars) College = binary variable (1 if...
a) You reason that this is because experience is related to "on the job training." One...
a) You reason that this is because experience is related to "on
the job training." One frequently used measure for (potential)
experience is "Age-Education-6." This means subtracting years of
education minus 6. Explain the underlying rationale.
b) Assuming, heroically, that education is constant across the
1,744 individuals, you consider regressing earnings on age and a
binary variable for gender. You estimate two specifications
initially:
c) Assuming, heroically, that education is constant across the
1,744 individuals, you consider regressing earnings on...
1 pts Question 1 Question 1: Death Penalty. Exercise 14-4. The chi-square for Table 14-3 on...
1 pts Question 1 Question 1: Death Penalty. Exercise 14-4. The chi-square for Table 14-3 on page 138 (see Exercise 14-4 /'a 'in your Exercise Book on page 138) is Table 14-3.PNG [Exercise 14-4 on page 138 is here: exercise 14-4.PNG Exercise 14-4. A speaker at a lecture declares that no statistical evidence whatsoever demonstrates that the death penalty discriminates against minorities. When pressed on the point, she shows a slide that looks like table 14-3.9 The subjects were 326...
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...
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 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: omitted variable bias. o serial correlation. spurious regression. o multicollinearity.
Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high (above 0.8), while none of the estimated coefficients are (individually) statistically different from zero at the 5-percent level of significance. The most likely reason for this result is: O multicollinearity. omitted variable bias. O serial correlation. spurious regression. 3 pts Question 9
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let AHE = average hourly earnings (in 2005 dollars) College = binary variable (1 if...
a) You reason that this is because experience is related to "on
the job training." One frequently used measure for (potential)
experience is "Age-Education-6." This means subtracting years of
education minus 6. Explain the underlying rationale.
b) Assuming, heroically, that education is constant across the
1,744 individuals, you consider regressing earnings on age and a
binary variable for gender. You estimate two specifications
initially:
c) Assuming, heroically, that education is constant across the
1,744 individuals, you consider regressing earnings on...
1 pts Question 1 Question 1: Death Penalty. Exercise 14-4. The chi-square for Table 14-3 on page 138 (see Exercise 14-4 /'a 'in your Exercise Book on page 138) is Table 14-3.PNG [Exercise 14-4 on page 138 is here: exercise 14-4.PNG Exercise 14-4. A speaker at a lecture declares that no statistical evidence whatsoever demonstrates that the death penalty discriminates against minorities. When pressed on the point, she shows a slide that looks like table 14-3.9 The subjects were 326...
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