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A lender's HMDA data shows that 85% of white applicants are approved compared to 70% of Hispanic applicants. The lender argues this difference is due to credit score variations. What additional analysis would be most appropriate?

Correct Answer

B) Perform regression analysis including credit scores and other legitimate factors

To properly evaluate the lender's explanation, regression analysis that includes credit scores and other legitimate underwriting factors is necessary to determine if the disparity persists after controlling for creditworthiness, which would suggest potential discrimination.

Answer Options
A
Compare only the loan amounts between the two groups
B
Perform regression analysis including credit scores and other legitimate factors
C
Examine only the geographic distribution of applications
D
Review the loan-to-value ratios of approved loans only

Why This Is the Correct Answer

To properly evaluate the lender's explanation, regression analysis that includes credit scores and other legitimate underwriting factors is necessary to determine if the disparity persists after controlling for creditworthiness, which would suggest potential discrimination.

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