Prediction of anthropometric variables in standing position in Venezuelan direct labor workers

Alejandro Labrador Parra and Evelin Escalona

Rehabilitation and Sports Medicine, 2024, vol. 4, 105

Abstract: The present research aims to predict anthropometric variables in workers of direct industrial labor force in bipedestation, with mathematical models or algorithms such as linear or multiple regression models, which facilitate the measurement process reducing costs and time in the research. The methodology was applied to a population sample of 185 workers (131M,54W) of Venezuelan industrial direct labor, located in the industrial zones of Aragua state, being its research level correlational-transversal-epidemiological. The research made use of the statistical procedure of linear and multiple regressions with the support of the mini tab-17 statistical package. From the statistical assumptions, the obtained functions of simple and multiple regression in the anthropometric variables in bipedestation, show us significant models (Average 95 %) for a P-value

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:rehabi:v:4:y:2024:i::p:105:id:105

DOI: 10.56294/ri2024105

Access Statistics for this article

More articles in Rehabilitation and Sports Medicine from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().