QuiztudyPREMIUM
Google Advanced Data Analytics Professional Certificate • STUDY MODE
TEST YOUR KNOWLEDGE: FOUNDATIONS OF LOGISTIC REGRESSION
QUESTION 1 OF 3
No extreme outliers is one of the four main binomial logistic regression assumptions. What are the other three? Select all that apply.
A
HomoscedasticityB
LinearityCorrect AnswerC
Independent observationsCorrect AnswerD
No multicollinearityCorrect AnswerExplanation:
The four main binomial logistic regression assumptions are: linearity, independent observations, no multicollinearity, and no extreme outliers.
QUESTION 2 OF 3
Logit is the logarithm of the odds of a given probability.
A
TrueCorrect AnswerB
FalseExplanation:
Logit is the logarithm of the odds of a given probability. It is the most common link function used to linearly relate the X variables to the probability of Y.
QUESTION 3 OF 3
Fill in the blank: The maximum likelihood estimation is a technique used for estimating the beta parameters that _____ the likelihood of a model producing the observed data.
A
controlB
balanceC
maximizeCorrect AnswerD
reduceExplanation:
The maximum likelihood estimation is a technique used for estimating the beta parameters that maximize the likelihood of a model producing the observed data.
Ready to test your recall?
No extreme outliers is one of the four main binomial logistic regression assumptions. What are the other three? Select all that apply.
💡Select all 3 correct answers before submitting (0 of 3 selected).
A
Homoscedasticity
B
Linearity
C
Independent observations
D
No multicollinearity
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