Transition from a predictive multiple linear regression model to an explanatory simple nonlinear regression model with higher level of prediction: A systems dynamics approach

Transition from a predictive multiple linear regression model to an explanatory simple nonlinear regression model with higher level of prediction: A systems dynamics approach

One of the main assumptions of the linear regression analysis is the existence of a causal relationship between the variables analyzed, which the regression analysis does not demonstrate. This paper demonstrates the causality between the variables analyzed through the construction and analysis of t...

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Bibliographic Details
Main Authors: Roberto Baeza-Serrato, José Antonio Vázquez-López
Format: Article
Language:English
Published: Universidad de Antioquia 2014-02-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
system dynamics
causality
model predictive
explanatory model
mean square error
linear regression
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/14469

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/14469

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