Comprehensive Student Enrollment Forecasting Model

Develop an advanced predictive Excel model for student enrollment forecasting that integrates multiple data streams including demographic trends, historical enrollment data, economic indicators, and institutional marketing effectiveness. Implement time-series analysis techniques using Excel's statistical functions to create probabilistic enrollment projections with confidence intervals. Include automated data validation, scenario modeling, and interactive dashboards that allow administrators to adjust input variables and instantly see potential enrollment scenarios.