Modelo de regresión múltiple aplicado al proceso de admisión de la Universidad de Panamá

 

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Detalles Bibliográficos
Autores: Cunningham, José, Valderrama, Gerardo, De Rodríguez, Rosario, Sandoya, Régulo, Fernández, Martina
Formato: artículo original
Estado:Versión publicada
Fecha de Publicación:2007
Descripción:The University of Panama since the year 1993 uses in its process of admission, diagnostic tests such as the GATB, PCA and the PCG as variables to indicate and help predict academic success. The contributions made by each one of these variables to forecast the outcome is established using the multiple regression equation. The present work of this investigation includes a new variable that is added to the three already mentioned, it is using the grade point average achieved in High School. Historically, it has been considered as a good prognosticator in the academic field, but in this occasion it is used as a linear model to verify its real contribution to the prediction of the cumulative academic index of the second semester. An univariate descriptive analysis, and then a correlational analysis is made between all the variables of the study which also includes multiple intercorrelations and correlations; finally, the equation and coefficients to predict the prognosis for each academic area appear. The new findings reflected in the results of this investigation can help reframe the future use of these prognosticators and to help look for better alternatives in the process of admissions.
País:Portal de Revistas UCR
Institución:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Lenguaje:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/39333
Acceso en línea:https://revistas.ucr.ac.cr/index.php/matematica/article/view/39333
Palabra clave:Multiple linear regression
correlation
admission process
Regresión lineal múltiple
correlación
proceso de admisión