Regresión logística: estudio de la probabilidad de tener un salario elevado

Abstract

[en] Logistic models have a crucial role in data analysis and decision-making across diverse fields. They enable the modeling and prediction of binary events, making them valuable in areas such as medicine, psychology, marketing, and social sciences. This study aims to understand the mathematical theory behind logistic models and apply this knowledge to construct a practical model for predicting high income among university graduates. By combining theoretical exploration and practical implementation using R programming, we analyze relevant data from the National Institute of Statistics and evaluate the model’s predictive capabilities. The study’s methodology provides a comprehensive and insightful perspective, contributing to a better understanding of the factors influencing the likelihood of attaining a high salary.