Which of the following reasons best describes why overdispersion is a problem in logistic regression?
A) Incorrect correlations may be assumed.
B) The standard error will be limited and may cause the test statistic to be too large and more likely to become significant.
C) The outliers will not significantly affect the results.
D) None of the above.

Question

Quizplus · Accepted Answer

Overdispersion in logistic regression can lead to underestimated standard errors, which in turn can make the test statistics too large, increasing the likelihood of finding significant results when there may not be any.

Which of the Following Reasons Best Describes Why Overdispersion Is