What is suggested by very high standard errors in parameter estimates in logistic regression?
A) Shrinkage
B) Multicollinearity
C) An outlier
D) A dummy variable

Question

Quizplus · Accepted Answer

Very high standard errors in parameter estimates in logistic regression suggest the presence of multicollinearity, which occurs when the independent variables are highly correlated with each other, making it difficult to estimate the individual effects of each variable on the dependent variable.

What Is Suggested by Very High Standard Errors in Parameter