Question 1

Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values?

Accepted Answer

A)  Logistic regression 
B)  Multinomial logistic regression 
C)  Ordered logit regression 
D)  Poisson regression 
A)  Logistic regression 
B)  Multinomial logistic regression 
C)  Ordered logit regression 
D)  Poisson regression B

Question 2

In logistic regression, what do we estimate for a unit's change in X?

Accepted Answer

A)  The change in Y multiplied with Y 
B)  The change in Y from its mean 
C)  How much Y changes 
D)  How much the natural logarithm of the odds for Y=1 changes 
A)  The change in Y multiplied with Y 
B)  The change in Y from its mean 
C)  How much Y changes 
D)  How much the natural logarithm of the odds for Y=1 changes D

Question 3

In categorical variables, when all, or close to all with a given X-value has the same value on Y, we call this a problem of?

Accepted Answer

A)  Discrimination 
B)  Multicollinearity 
C)  Autocorrelation 
D)  Prediction 
A)  Discrimination 
B)  Multicollinearity 
C)  Autocorrelation 
D)  Prediction A

Question 4

Who is considered to be the 'inventor' of logistic regression?

Accepted Answer

A)  Thomas Malthus 
B)  Alphonse Quetelet 
C)  Pierre-François Verhulst 
D)  Karl Pearson 
A)  Thomas Malthus 
B)  Alphonse Quetelet 
C)  Pierre-François Verhulst 
D)  Karl Pearson

Question 5

What makes the interpretation of conditional effects extra challenging in logistic regression?

Accepted Answer

A)  It is not possible to model interaction effects in logistic regression 
B)  The results must be raised by its natural logarithm 
C)  The conditional effect is dependent on the values of all X-variables 
D)  The maximum likelihood estimation makes the results unstable 
A)  It is not possible to model interaction effects in logistic regression 
B)  The results must be raised by its natural logarithm 
C)  The conditional effect is dependent on the values of all X-variables 
D)  The maximum likelihood estimation makes the results unstable

Question 6

A total predicted logit of 0 can be transformed to a probability of?

Accepted Answer

A)  0 
B)  0.5 
C)  1 
D)  0.75 
A)  0 
B)  0.5 
C)  1 
D)  0.75

Question 7

The log likelihood is analogous to?

Accepted Answer

A)  The t-test in OLS regression 
B)  The F-test in OLS regression 
C)  The standardized coefficient in OLS regression 
D)  The Wald test 
A)  The t-test in OLS regression 
B)  The F-test in OLS regression 
C)  The standardized coefficient in OLS regression 
D)  The Wald test

Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values?

In logistic regression, what do we estimate for a unit's change in X?

In categorical variables, when all, or close to all with a given X-value has the same value on Y, we call this a problem of?

Who is considered to be the 'inventor' of logistic regression?

What makes the interpretation of conditional effects extra challenging in logistic regression?

A total predicted logit of 0 can be transformed to a probability of?

The log likelihood is analogous to?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

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

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Exam 8: Logistic Regression

Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values?

In logistic regression, what do we estimate for a unit's change in X?

In categorical variables, when all, or close to all with a given X-value has the same value on Y, we call this a problem of?

Who is considered to be the 'inventor' of logistic regression?

What makes the interpretation of conditional effects extra challenging in logistic regression?

A total predicted logit of 0 can be transformed to a probability of?

The log likelihood is analogous to?

Research and Statistics

Introduction to STATA

Simple Bivariate Regression

Multiple Regression

Dummy-Variable Regression

Interaction/Moderation Effects Using Regression

Linear Regression Assumptions and Diagnostics

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