Predicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R
Date
2024-02-16
Authors
Pavlicek, James
Journal Title
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Volume Title
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Abstract
This study reveals that faculty salaries, academic preparedness, and student demographics are pivotal to student retention at Texas public universities, providing data-driven strategies to enhance institutional success and growth.
Description
Keywords
education, public universities, machine learning
Citation
Pavlicek, J. (2024). Predicting Texas public universities retention rate with multi variable linear regression and neural networks in R. Texas State University Libraries Open Datathon, San Marcos, Texas.
Rights
Attribution-NonCommercial-NoDerivs 3.0 United States