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tfg_victoria_galindo_ana.pdf (1.11 MB)

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Bachelor thesis

Publication date

2023-06-13

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cc-by-nc-nd (c) Ana Victoria Galindo, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/203642

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

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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.

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Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Esther Vayá i Josep Vives i Santa Eulàlia

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Models lineals (Estadística), Estadística matemàtica, Probabilitats, Treballs de fi de grau, Anàlisi de regressió

Subject (English)

Linear models (Statistics), Mathematical statistics, Probabilities, Bachelor's theses, Regression analysis

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

VICTORIA GALINDO, Ana. Regresión logística: estudio de la probabilidad de tener un salario elevado. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/203642

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