🔒 ZERO PII: All inputs are aggregate regression statistics only — no individual applicant records. Do not enter real personal data. All computation is local in your browser; no data is transmitted.
Model Context
Statistical Prong (logistic / linear regression on BIFSG-proxied race/ethnicity)
Source: CO Reg. 10-1-1 §6(B)(1). Prong fires if BOTH p < 0.05 AND |marginal effect| ≥ 5pp (percentage points).
Two-sided Wald test; enter as decimal (e.g., 0.03)
Absolute value. Approval rate or premium change attributed to protected class. Enter as pp (e.g., 7.2 for 7.2pp)
Premium Prong (pricing models only)
Source: CO Reg. 10-1-1 §6(B)(2). Prong fires if model-predicted premium for a protected class segment ≥ 5% above the group-weighted average premium.
Mean predicted premium for the protected-class segment
Population-weighted average premium across all segments