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A professor wanted to understand whether exam performance (passed/ failed) can be predicted based on gender, test anxiety and attendance. Using binomial logistic regression he

A professor wanted to understand whether exam performance (passed/ failed) can be predicted based on gender, test anxiety and attendance. Using binomial logistic regression he obtained the following results: Nagelkerke R^2 = 0.412, Overall percentage = 52% (in Classification table) and Exp(B) for gender (female acting as reference category) = 4.123. What would be his conclusion?*

A. The model explained 41.2% of the variance in exam performance and correctly classified 52.0% of cases. Males were 4.123 times more likely to pass the exam than females.

B. The model explained 52.0% of the variance in exam performance and correctly classified 41.2% of cases. Females were 4.123 times more likely to pass the exam than males.

C. The model explained 41.2% of the variance in exam performance and correctly classified 52.0% of cases. Females were 4.123 times more likely to pass the exam than males.

D. The model explained 52.0% of the variance in exam performance and correctly classified 41.2% of cases. Males were 4.123 times more likely to pass the exam than females.

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