Advanced Anomaly Detection and Predictive Outlier Model

Create an Excel workbook with a sophisticated anomaly detection system that uses statistical methods to identify and flag unusual data points across multiple datasets. Implement z-score and interquartile range calculations, develop custom conditional formatting rules, and design an automated reporting system that provides contextual analysis for each detected anomaly. Include visualization tools that help users understand the statistical significance of detected variations.