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From Scratch: A Didactic Example of Multivariate Regression in Python

Authors :
Ashiabi, Godwin S.
Source :
Tutorials in Quantitative Methods for Psychology, Vol 20, Iss 2, Pp 186-204 (2024)
Publication Year :
2024
Publisher :
Université d'Ottawa, 2024.

Abstract

Although Python has the statsmodels library that can be used to perform different statistical analyses, including multiple regression, it has not yet implemented multivariate regression as one of its methods. An investigator interested in conducting a multivariate regression is thus limited to running a series of univariate regression models, which do not take into account the collinearity among variables in the models. Thus, the purpose of this tutorial is to demonstrate how to perform multivariate regression in Python using custom user-defined classes, and linear hypothesis testing using statsmodels.

Details

Language :
English, French
ISSN :
19134126
Volume :
20
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Tutorials in Quantitative Methods for Psychology
Publication Type :
Academic Journal
Accession number :
edsdoj.18f1bc07b37241b7b04599107efeeadd
Document Type :
article
Full Text :
https://doi.org/10.20982/tqmp.20.2.p186