Deck 8: Logistic Regression

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

A) Thomas Malthus
B) Alphonse Quetelet
C) Pierre-François Verhulst
D) Karl Pearson
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Question
In logistic regression, what do we estimate for a unit's change in X?

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

A) 0
B) 0.5
C) 1
D) 0.75
Question
The log likelihood is analogous to?

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
Question
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?

A) Discrimination
B) Multicollinearity
C) Autocorrelation
D) Prediction
Question
What makes the interpretation of conditional effects extra challenging in logistic regression?

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

A) Logistic regression
B) Multinomial logistic regression
C) Ordered logit regression
D) Poisson regression
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Deck 8: Logistic Regression
1
Who is considered to be the 'inventor' of logistic regression?

A) Thomas Malthus
B) Alphonse Quetelet
C) Pierre-François Verhulst
D) Karl Pearson
C
2
In logistic regression, what do we estimate for a unit's change in X?

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
3
A total predicted logit of 0 can be transformed to a probability of?

A) 0
B) 0.5
C) 1
D) 0.75
B
4
The log likelihood is analogous to?

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
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Unlock for access to all 7 flashcards in this deck.
Unlock Deck
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5
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?

A) Discrimination
B) Multicollinearity
C) Autocorrelation
D) Prediction
Unlock Deck
Unlock for access to all 7 flashcards in this deck.
Unlock Deck
k this deck
6
What makes the interpretation of conditional effects extra challenging in logistic regression?

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
Unlock Deck
Unlock for access to all 7 flashcards in this deck.
Unlock Deck
k this deck
7
Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values?

A) Logistic regression
B) Multinomial logistic regression
C) Ordered logit regression
D) Poisson regression
Unlock Deck
Unlock for access to all 7 flashcards in this deck.
Unlock Deck
k this deck
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Unlock Deck
Unlock for access to all 7 flashcards in this deck.