Test Bank for Introductory Econometrics A Modern Approach, 7th Edition Wooldridge (Chapter 2 to 19 included)
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Course
Microeconomics
Institution
Microeconomics
Complete Test Bank for Introductory Econometrics A Modern Approach, 7th Edition by Jeffrey M. Wooldridge ; ISBN13: 9781337558860.....(Full Chapters included Chapter 2 to 19)....1. The Nature of Econometrics and Economic Data (***TB not available for publisher side)
2. The Simple Regression Model.
...
Introductory Econometrics
A Modern Approach
7th Edition by Jeffrey M. Wooldridge
Complete Chapters Test Bank
are included (Ch 2 to 19)
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** All Chapters included
,Name: Class: Date:
Chap 02_7e
Indicate whether the statement is true or false.
1. There are n-1 degrees of freedom in Ordinary Least Square residuals.
a. True
b. False
2. R2 is the ratio of the explained variation compared to the total variation.
a. True
b. False
3. In general, the constant that produces the smallest sum of squared deviations is always the sample average.
a. True
b. False
4. The sample covariance between the regressors and the Ordinary Least Square (OLS) residuals is always
positive.
a. True
b. False
5. Simple regression is an analysis of correlation between two variables.
a. True
b. False
6. A natural measure of the association between two random variables is the correlation coefficient.
a. True
b. False
7. In a simple linear regression model, wage = + male + u, where male is a binary variable (1 if a person is
male, and 0 otherwise), is the difference in the average wage between males and non-males.
a. True
b. False
8. The variance of the slope estimator increases as the error variance decreases.
a. True
b. False
Indicate the answer choice that best completes the statement or answers the question.
9. In the regression of y on x, the error term exhibits heteroskedasticity if _____.
a. it has a constant variance
b. Var(y|x) is a function of x
c. x is a function of y
d. y is a function of x
Page 1
, Name: Class: Date:
Chap 02_7e
10. Which of the following is an example of a dummy variable?
a. A person’s hourly wage
b. The number of years of education someone has
c. The number of years of work experience someone has
d. Whether or not someone has a college degree
11. Which of the following will cause Ordinary Least Square (OLS) estimates of a simple regression model, y =
+ x + u to be biased?
a. Every individual in the population has the same probability of being observed in the sample.
b. The observed values of span a wide range.
c. The constant, is greater than the coefficient, .
d. The constant, is greater than the coefficient, .
12. What does the equation denote if the regression equation is ?
a. The explained sum of squares
b. The total sum of squares
c. The sample regression function
d. The population regression function
13. The explained sum of squares for the regression function, , is defined as _____.
a.
b.
c.
d.
14. If the total sum of squares (SST) in a regression equation is 81, and the residual sum of squares (SSR) is 25,
what is the explained sum of squares (SSE)?
a. 64
b. 56
c. 32
d. 18
Page 2
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