Student Performance Predictive Analytics Dashboard

Design an advanced Excel dashboard using predictive modeling techniques to forecast student academic performance. Develop a multi-sheet workbook that integrates historical grade data, standardized test scores, attendance records, and extracurricular involvement. Implement machine learning-inspired regression formulas using Excel's built-in statistical functions to predict individual student risk of academic underperformance with at least 85% accuracy. Include conditional formatting that automatically highlights at-risk students and create dynamic pivot tables that allow administrators to drill down into specific intervention strategies.