Advanced Student Enrollment Prediction Model

Develop a predictive SQL query using advanced window functions and machine learning-compatible data preparation techniques to forecast student enrollment probabilities for upcoming academic terms. The query must integrate historical enrollment data, student demographic information, previous academic performance, and external factors like economic indicators. Create a statistical model that calculates enrollment likelihood with at least 85% accuracy and generates actionable insights for admissions planning.