Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 46, Pages: 1-5
Amelec Viloria1 and Alexander Parody2
1Universidad de la Costa, Barranquilla, Colombia; [email protected] 2Universidad Autonoma del Caribe, Barranquilla, Colombia; [email protected]
Objectives: This study presents the methodology for a model of multiple linear regression to assess the impact of the first partial grade and the percentage of non - attendance in the final grade students. Methods/Statistical Analysis: Descriptive Statistics and Inferential a program Industrial engineering a university in Colombia. Findings: After the generation and validation of the model was obtained that it explains 83.38% of the variability of the final grade students analyzed (134 students), and this significantly high percentage as a tool to determine the outcome of a student and generate recovery strategies those with a very low projection in its final note, it should be noted that the model was rigorously validated statistically. Application/Improvements: This methodology is proposed as a model for similar studies in other institutions.
Keywords: College Dropout, Multiple Linear Regression, Prediction
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