Sample questions Quiz 2-1

pdf

School

Johns Hopkins University *

*We aren’t endorsed by this school

Course

BU.232.620

Subject

Economics

Date

Jan 9, 2024

Type

pdf

Pages

Uploaded by CoachField12328

Examples of questions, Quiz 2 Quiz 2 will contain a set of multiple-choice/true-false questions. Examples of Multiple choices- TRUE/FALSE questions 1. If an independent variable in a multiple linear regression model is an exact linear combination of other independent variables, the model suffers from the problem of _____. a. perfect collinearity b. homoskedasticity c. heteroskedasticty d. omitted variable bias 2. Suppose the variable x 2 has been omitted from the following regression equation , is the estimator obtained when is omitted from the equation. The bias in is positive if _____. a. >0 and and are positively correlated b. <0 and and are positively correlated c. >0 and and are negatively correlated d. = 0 and and are negatively correlated 3. The Gauss-Markov theorem will not hold if _____. a. the error term has the same variance given any values of the explanatory variables b. the error term has an expected value of zero given any values of the independent variables c. the independent variables have exact linear relationships among them d. the regression model relies on the method of random sampling for collection of data

5. A normal variable is standardized by: a. subtracting off its mean from it and multiplying by its standard deviation. b. adding its mean to it and multiplying by its standard deviation. c. subtracting off its mean from it and dividing by its standard deviation. d. adding its mean to it and dividing by its standard deviation. 7. Which of the following is true of standard error? a. It can take negative values. b. It is an estimate of the standard deviation. c. It is the square root of the variance. d. It complicates the computation of confidence intervals. 8. The ordinary least square estimators have the smallest variance among all the unbiased estimators. a. True b. False 9. In a multiple regression model, the OLS estimator is consistent if: a. there is no correlation between the dependent variables and the error term. b. there is a perfect correlation between the dependent variables and the error term. c. the sample size is less than the number of parameters in the model. d. there is no correlation between the independent variables and the error term. 10. If OLS estimators satisfy asymptotic normality, it implies that: a. they are approximately normally distributed in large enough sample sizes. b. they are approximately normally distributed in samples with less than 10 observations. c. they have a constant mean equal to zero and variance equal to 2 . d. they have a constant mean equal to one and variance equal to .

SOLUTIONS TO Examples of questions, Quiz 2 Quiz 2 will contain a set of multiple-choice/true-false questions. Examples of Multiple choices- TRUE/FALSE questions 1. If an independent variable in a multiple linear regression model is an exact linear combination of other independent variables, the model suffers from the problem of _____. a. perfect collinearity b. homoskedasticity c. heteroskedasticty d. omitted variable bias ANSWER: a 2. Suppose the variable x 2 has been omitted from the following regression equation , is the estimator obtained when is omitted from the equation. The bias in is positive if _____. a. >0 and and are positively correlated b. <0 and and are positively correlated c. >0 and and are negatively correlated d. = 0 and and are negatively correlated ANSWER:a 3. The Gauss-Markov theorem will not hold if _____. a. the error term has the same variance given any values of the explanatory variables b. the error term has an expected value of zero given any values of the independent variables c. the independent variables have exact linear relationships among them d. the regression model relies on the method of random sampling for collection of data ANSWER: c

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

5. A normal variable is standardized by: a. subtracting off its mean from it and multiplying by its standard deviation. b. adding its mean to it and multiplying by its standard deviation. c. subtracting off its mean from it and dividing by its standard deviation. d. adding its mean to it and dividing by its standard deviation. ANSWER: c 7. Which of the following is true of standard error? a. It can take negative values. b. It is an estimate of the standard deviation. c. It is the square root of the variance. d. It complicates the computation of confidence intervals. ANSWER: b 8. The ordinary least square estimators have the smallest variance among all the unbiased estimators. a. True b. False ANSWER: True 9. In a multiple regression model, the OLS estimator is consistent if: a. there is no correlation between the dependent variables and the error term. b. there is a perfect correlation between the dependent variables and the error term. c. the sample size is less than the number of parameters in the model. d. there is no correlation between the independent variables and the error term. ANSWER: d 10. If OLS estimators satisfy asymptotic normality, it implies that: a. they are approximately normally distributed in large enough sample sizes. b. they are approximately normally distributed in samples with less than 10 observations. c. they have a constant mean equal to zero and variance equal to 2 . d. they have a constant mean equal to one and variance equal to . ANSWER: a

Related Documents

ECO-20044 - Economic Cost of Decisions - Resource Recs.docx

Practice SAQs Midterm Exam 2.pdf

Screenshot 2023-12-18 at 7.20.24 AM.png

eco2115_2023 assignment 1 v2. answers.pdf

eco2115_2023 assignment 2 v1 (1).pdf

Sample questions Quiz 1.pdf

4.png

IMG_0389.jpeg

Catlett_ECO110_Week4Assignment (2).docx

Walton_Multiple_Inputs_Complete_ (1).xlsx

Unit 5- assignment.docx

Topic Assignment 9.docx

Recommended textbooks for you

Managerial Economics: Applications, Strategies an...

Economics

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:Cengage Learning

Microeconomic Theory

Economics

ISBN:9781337517942

Author:NICHOLSON

Publisher:Cengage

MACROECONOMICS FOR TODAY

Economics

ISBN:9781337613057

Author:Tucker

Publisher:CENGAGE L

Micro Economics For Today

Economics

ISBN:9781337613064

Author:Tucker, Irvin B.

Publisher:Cengage,

Economics For Today

Economics

ISBN:9781337613040

Author:Tucker

Publisher:Cengage Learning

Survey Of Economics

Economics

ISBN:9781337111522

Author:Tucker, Irvin B.

Publisher:Cengage,

SEE MORE TEXTBOOKS

Recommended textbooks for you

Managerial Economics: Applications, Strategies an...
Economics
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:Cengage Learning
Microeconomic Theory
Economics
ISBN:9781337517942
Author:NICHOLSON
Publisher:Cengage
MACROECONOMICS FOR TODAY
Economics
ISBN:9781337613057
Author:Tucker
Publisher:CENGAGE L
Micro Economics For Today
Economics
ISBN:9781337613064
Author:Tucker, Irvin B.
Publisher:Cengage,
Economics For Today
Economics
ISBN:9781337613040
Author:Tucker
Publisher:Cengage Learning
Survey Of Economics
Economics
ISBN:9781337111522
Author:Tucker, Irvin B.
Publisher:Cengage,