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...
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: | |
Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/14469 |
Similar Items
-
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation
by: Burhan U Din Abdullah, et al.
Published: (2024-03-01) -
Performance of LASSO and Elastic net estimators in Misspecified Linear Regression Model
by: M. Kayanan, et al.
Published: (2019-09-01) -
Quality of life and explanatory models of illness in patients with schizophrenia
by: Jibi A Jacob, et al.
Published: (2018-01-01) -
Explanatory Power of Earnings Management Models
by: Metzker Zdenko, et al.
Published: (2021-01-01) -
The Explanatory Model of Globalization
by: Marin Dinu
Published: (2006-05-01)