Deck 8: Logistic 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
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
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
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
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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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
A) Discrimination
B) Multicollinearity
C) Autocorrelation
D) Prediction
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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
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
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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
A) Logistic regression
B) Multinomial logistic regression
C) Ordered logit regression
D) Poisson regression
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