Which of the following assumptions should be examined to ensure that bias is minimized? (You may select more than one option.)
A) Linearity between the continuous predictors and the logit of the outcome variable
B) Outcome variables follow a chi-square distribution
C) Independence of errors, thus reducing overdispersion
D) The continuous predictors follow a log transformation

Question

Quizplus · Accepted Answer

Linearity between predictors and the logit ensures the model is correctly specified, reducing bias. Independence of errors helps in reducing overdispersion, which can lead to biased estimates.

Which of the Following Assumptions Should Be Examined to Ensure