Predicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R

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dc.contributor.authorPavlicek, James
dc.date.accessioned2024-02-20T16:33:30Z
dc.date.available2024-02-20T16:33:30Z
dc.date.issued2024-02-16
dc.description.abstractThis 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.
dc.description.departmentBusiness
dc.formatImage
dc.format.extent1 page
dc.format.medium1 file (.pdf)
dc.identifier.citationPavlicek, 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.
dc.identifier.urihttps://hdl.handle.net/10877/18058
dc.language.isoen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjecteducation
dc.subjectpublic universities
dc.subjectmachine learning
dc.titlePredicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R
dc.typePoster

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