Predicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R
Date
2024-02-16
Authors
Pavlicek, James
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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
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Rights
Attribution-NonCommercial-NoDerivs 3.0 United States