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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
Homoscedasticity
B
LinearityCorrect Answer
C
Independent observationsCorrect Answer
D
No multicollinearityCorrect Answer
Explanation:

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 Answer
B
False
Explanation:

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
control
B
balance
C
maximizeCorrect Answer
D
reduce
Explanation:

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

How confident are you in this answer?