Business Data Analyst University of Utah Midvale, Utah, United States
Session Abstract: Understanding which incoming freshmen are most likely to matriculate is critical to strategic recruitment planning, especially amid shifting enrollment trends. In this session, we present a logistic regression model developed to predict matriculation using institutional data on student demographics, geography, and academic background. Attendees will learn how to build a predictive model, interpret the results, and most importantly, apply findings to improve yield through more targeted communication and resource allocation. Real-world outcomes and practical templates will be shared.
