Question 1

is the ratio of the explained variation compared to the total variation.

Accepted Answer

A) True 
 B)False  True

Question 2

In the equation y =   +   x + u,what is the estimated value of   ?

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)    A

Question 3

The variance of the slope estimator increases as the error variance decreases.

Accepted Answer

A) True 
 B)False  False

Question 4

What is the estimated value of the slope parameter when the regression equation,y = β0 + β1x1 + u   passes through the origin?

Accepted Answer

A)    
B)    ) 
C)    
D)    
A)    
B)    ) 
C)    
D)

Question 5

The sample covariance between the regressors and the Ordinary Least Square (OLS)residuals is always positive.

Accepted Answer

A) True 
 B)False

Question 6

In the equation y =   +   x + u,   is the _____.

Accepted Answer

A) dependent variable 
B) independent variable 
C) slope parameter 
D) intercept parameter 
A) dependent variable 
B) independent variable 
C) slope parameter 
D) intercept parameter

Question 7

There are n-1 degrees of freedom in Ordinary Least Square residuals.

Accepted Answer

A) True 
 B)False

Question 8

The explained sum of squares for the regression function,   ,is defined as _____.

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 9

Which of the following is a nonlinear regression model?

Accepted Answer

A) y = β0 + β1x1/2 + u 
B) log y = β0 + β1log x +u 
C) y = 1 / (β0 + β1x)+ u 
D) y = β0 + β1x + u 
A) y = β0 + β1x1/2 + u 
B) log y = β0 + β1log x +u 
C) y = 1 / (β0 + β1x)+ u 
D) y = β0 + β1x + u

Question 10

Consider the following regression model: y = β0 + β1x1 + u.Which of the following is a property of Ordinary Least Square (OLS)estimates of this model and their associated statistics?

Accepted Answer

A) The sum,and therefore the sample average of the OLS residuals,is positive. 
B) The sum of the OLS residuals is negative. 
C) The sample covariance between the regressors and the OLS residuals is positive. 
D) The point (   ,
  )always lies on the OLS regression line. 
A) The sum,and therefore the sample average of the OLS residuals,is positive. 
B) The sum of the OLS residuals is negative. 
C) The sample covariance between the regressors and the OLS residuals is positive. 
D) The point (   ,
  )always lies on the OLS regression line.

Question 11

What does the equation   denote if the regression equation is y = β0 + β1x1 + u?

Accepted Answer

A) The explained sum of squares 
B) The total sum of squares 
C) The sample regression function 
D) The population regression function 
A) The explained sum of squares 
B) The total sum of squares 
C) The sample regression function 
D) The population regression function

Question 12

If a change in variable x causes a change in variable y,variable x is called the _____.

Accepted Answer

A) dependent variable 
B) explained variable 
C) explanatory variable 
D) response variable 
A) dependent variable 
B) explained variable 
C) explanatory variable 
D) response variable

Question 13

A natural measure of the association between two random variables is the correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 14

In the equation c =   +   i + u,c denotes consumption and i denotes income.What is the residual for the 5th observation if   =$500 and   =$475?

Accepted Answer

A) $975 
B) $300 
C) $25 
D) $50 
A) $975 
B) $300 
C) $25 
D) $50

Question 15

A dependent variable is also known as a(n)_____.

Accepted Answer

A) explanatory variable 
B) control variable 
C) predictor variable 
D) response variable 
A) explanatory variable 
B) control variable 
C) predictor variable 
D) response variable

Question 16

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)?

Accepted Answer

A) 64 
B) 56 
C) 32 
D) 18 
A) 64 
B) 56 
C) 32 
D) 18

Question 17

In the regression of y on x,the error term exhibits heteroskedasticity if _____.

Accepted Answer

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 
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

Question 18

The error term in a regression equation is said to exhibit homoskedasticty if _____.

Accepted Answer

A) it has zero conditional mean 
B) it has the same variance for all values of the explanatory variable. 
C) it has the same value for all values of the explanatory variable 
D) if the error term has a value of one given any value of the explanatory variable. 
A) it has zero conditional mean 
B) it has the same variance for all values of the explanatory variable. 
C) it has the same value for all values of the explanatory variable 
D) if the error term has a value of one given any value of the explanatory variable.

Question 19

Which of the following is assumed for establishing the unbiasedness of Ordinary Least Square (OLS)estimates?

Accepted Answer

A) The error term has an expected value of 1 given any value of the explanatory variable. 
B) The regression equation is linear in the explained and explanatory variables. 
C) The sample outcomes on the explanatory variable are all the same value. 
D) The error term has the same variance given any value of the explanatory variable. 
A) The error term has an expected value of 1 given any value of the explanatory variable. 
B) The regression equation is linear in the explained and explanatory variables. 
C) The sample outcomes on the explanatory variable are all the same value. 
D) The error term has the same variance given any value of the explanatory variable.

Question 20

If the residual sum of squares (SSR)in a regression analysis is 66 and the total sum of squares (SST)is equal to 90,what is the value of the coefficient of determination?

Accepted Answer

A) 0.73 
B) 0.55 
C) 0.27 
D) 1.2 
A) 0.73 
B) 0.55 
C) 0.27 
D) 1.2

is the ratio of the explained variation compared to the total variation.

In the equation y = + x + u,what is the estimated value of ?

The variance of the slope estimator increases as the error variance decreases.

What is the estimated value of the slope parameter when the regression equation,y = β₀ + β₁x₁ + u passes through the origin?

The sample covariance between the regressors and the Ordinary Least Square (OLS)residuals is always positive.

In the equation y = + x + u, is the _____.

There are n-1 degrees of freedom in Ordinary Least Square residuals.

The explained sum of squares for the regression function, ,is defined as _____.

Which of the following is a nonlinear regression model?

Consider the following regression model: y = β₀ + β₁x₁ + u.Which of the following is a property of Ordinary Least Square (OLS)estimates of this model and their associated statistics?

What does the equation denote if the regression equation is y = β₀ + β₁x₁ + u?

If a change in variable x causes a change in variable y,variable x is called the _____.

A natural measure of the association between two random variables is the correlation coefficient.

In the equation c = + i + u,c denotes consumption and i denotes income.What is the residual for the 5^th observation if =$500 and =$475?

A dependent variable is also known as a(n)_____.

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)?

In the regression of y on x,the error term exhibits heteroskedasticity if _____.

The error term in a regression equation is said to exhibit homoskedasticty if _____.

Which of the following is assumed for establishing the unbiasedness of Ordinary Least Square (OLS)estimates?

If the residual sum of squares (SSR)in a regression analysis is 66 and the total sum of squares (SST)is equal to 90,what is the value of the coefficient of determination?

The Nature of Econometrics and Economic Data

Multiple Regression Analysis: Estimation

Multiple Regression Analysis: Inference

Multiple Regression Analysis: Ols Asymptotics

Multiple Regression Analysis: Further Issues

Multiple Regression Analysis With Qualitative Information: Binary or Dummy Variables

Heteroskedasticity

More on Specification and Data Problems

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Series Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time: Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Stage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Corrections

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

Exam 2: The Simple Regression Model

is the ratio of the explained variation compared to the total variation.

In the equation y = + x + u,what is the estimated value of ?

The variance of the slope estimator increases as the error variance decreases.

What is the estimated value of the slope parameter when the regression equation,y = β0 + β1x1 + u passes through the origin?

The sample covariance between the regressors and the Ordinary Least Square (OLS)residuals is always positive.

In the equation y = + x + u, is the _____.

There are n-1 degrees of freedom in Ordinary Least Square residuals.

The explained sum of squares for the regression function, ,is defined as _____.

Which of the following is a nonlinear regression model?

Consider the following regression model: y = β0 + β1x1 + u.Which of the following is a property of Ordinary Least Square (OLS)estimates of this model and their associated statistics?

What does the equation denote if the regression equation is y = β0 + β1x1 + u?

If a change in variable x causes a change in variable y,variable x is called the _____.

A natural measure of the association between two random variables is the correlation coefficient.

In the equation c = + i + u,c denotes consumption and i denotes income.What is the residual for the 5th observation if =$500 and =$475?

A dependent variable is also known as a(n)_____.

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)?

In the regression of y on x,the error term exhibits heteroskedasticity if _____.

The error term in a regression equation is said to exhibit homoskedasticty if _____.

Which of the following is assumed for establishing the unbiasedness of Ordinary Least Square (OLS)estimates?

If the residual sum of squares (SSR)in a regression analysis is 66 and the total sum of squares (SST)is equal to 90,what is the value of the coefficient of determination?

The Nature of Econometrics and Economic Data

Multiple Regression Analysis: Estimation

Multiple Regression Analysis: Inference

Multiple Regression Analysis: Ols Asymptotics

Multiple Regression Analysis: Further Issues

Multiple Regression Analysis With Qualitative Information: Binary or Dummy Variables

Heteroskedasticity

More on Specification and Data Problems

Basic Regression Analysis With Time Series Data

Further Issues in Using Ols With Time Series Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time: Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Stage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Corrections

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

What is the estimated value of the slope parameter when the regression equation,y = β₀ + β₁x₁ + u passes through the origin?

Consider the following regression model: y = β₀ + β₁x₁ + u.Which of the following is a property of Ordinary Least Square (OLS)estimates of this model and their associated statistics?

What does the equation denote if the regression equation is y = β₀ + β₁x₁ + u?

In the equation c = + i + u,c denotes consumption and i denotes income.What is the residual for the 5^th observation if =$500 and =$475?