Multiple Choice
Complete separation is:
A) When the observed variance is bigger than expected from the logistic regression model.
B) When the outcome variable can be perfectly predicted by one variable or a combination of variables.
C) When the outcome variable is completely separate from all other variables.
D) When all predictor variables are perfectly uncorrelated.
Correct Answer:
Verified
Correct Answer:
Verified
Q2: A researcher collected some data to look
Q3: In logistic regression, what is the R-statistic?<br>A)It
Q4: Multinomial logistic regression can be used on:<br>A)Ordinal
Q5: With regard to logistic regression, which of
Q6: The interpretation of the odds ratio, Exp(B),
Q7: Which of the following sentences regarding logistic
Q8: In logistic regression, a classification table:<br>A)Indicates how
Q9: The assumption of linearity in logistic regression:<br>A)Assumes
Q10: The statistical implication of using a parsimony
Q11: Unlike multiple regression, logistic regression:<br>A)Does not have