Question 1

What does the following expression (H₀:β₁=β₂=0)mean?

Accepted Answer

A)  One of the independent variables is useful in predicting the dependent variable 
B)  Both the independent variables are useful in predicting the dependent variable 
C)  None of the independent variables are useful in predicting the dependent variable 
D)  There is a third independent variable predicting the dependent variable 
A)  One of the independent variables is useful in predicting the dependent variable 
B)  Both the independent variables are useful in predicting the dependent variable 
C)  None of the independent variables are useful in predicting the dependent variable 
D)  There is a third independent variable predicting the dependent variable C

Question 2

What does a multiple linear regression analysis examine?

Accepted Answer

A)  The relationship between more than one dependent and only one independent variable 
B)  The relationship between one or more than one dependent and only one independent variable 
C)  The relationship between one dependent and more than one independent variables 
D)  The relationship between more than one independent variables 
A)  The relationship between more than one dependent and only one independent variable 
B)  The relationship between one or more than one dependent and only one independent variable 
C)  The relationship between one dependent and more than one independent variables 
D)  The relationship between more than one independent variables C

Question 3

What is the post-estimation command that you can use after the regress command in Stata to compute the predicted mean-Y values of interest?

Accepted Answer

A)  pcorr 
B)  esttab 
C)  margins 
D)  marginsplot 
A)  pcorr 
B)  esttab 
C)  margins 
D)  marginsplot C

Question 4

In which cases are the standardized coefficients suggested to be used to identify the relative importance of the independent variables in a multiple regression model?

Accepted Answer

A)  When all the independent variables are measured using the same metric 
B)  When not all the independent variables are measured using the same metric 
C)  When the independent variables are measured using different metrics 
D)  When all the independent variables are measured using an ordinal scale ranging from 1 to 6 
A)  When all the independent variables are measured using the same metric 
B)  When not all the independent variables are measured using the same metric 
C)  When the independent variables are measured using different metrics 
D)  When all the independent variables are measured using an ordinal scale ranging from 1 to 6

Question 5

Which of the following criteria is the most optimal for assessing the goodness of the fit of a multiple regression model?

Accepted Answer

A)  Adjusted R² 
B)  R² 
C)  The intercept 
D)  The coefficient 
A)  Adjusted R² 
B)  R² 
C)  The intercept 
D)  The coefficient

What does the following expression (H₀:β₁=β₂=0)mean?

What does a multiple linear regression analysis examine?

What is the post-estimation command that you can use after the regress command in Stata to compute the predicted mean-Y values of interest?

In which cases are the standardized coefficients suggested to be used to identify the relative importance of the independent variables in a multiple regression model?

Which of the following criteria is the most optimal for assessing the goodness of the fit of a multiple regression model?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Panel Data Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters

Exam 4: Multiple Regression

What does the following expression (H₀:β₁=β₂=0)mean?

What does a multiple linear regression analysis examine?

What is the post-estimation command that you can use after the regress command in Stata to compute the predicted mean-Y values of interest?

In which cases are the standardized coefficients suggested to be used to identify the relative importance of the independent variables in a multiple regression model?

Which of the following criteria is the most optimal for assessing the goodness of the fit of a multiple regression model?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

Logistic Regression

Survival Analysis

Multilevel Analysis

Panel Data Analysis

Time-Series Analysis

Exploratory Factor Analysis

Structural Equation Modelling and Confirmatory Factor Analysis

Advanced Statistical Techniques

Programming and Dynamic Reporting Using STATA

Filters