Comprehensive Student Progression Risk Assessment Model

Design a sophisticated SQL-driven risk assessment model that predicts student academic progression likelihood using multilayered statistical analysis. Create a series of complex stored procedures that evaluate historical performance data, attendance records, socioeconomic indicators, and learning engagement metrics. Implement a probabilistic scoring mechanism that generates early intervention recommendations with configurable risk thresholds.