An update to the regression to estimate the body mass of extinct xenarthrans
DOI:
https://doi.org/10.14808/sci.plena.2024.068002Keywords:
Xenarthra, ordinary least square, Brazilian Intertropical RegionAbstract
In this paper, we provide an update on a regression model designed to estimate the body mass of extinct xenarthrans, particularly those from the Brazilian Intertropical Region. We utilized 84 samples from nine extant xenarthrans species (Pilosa and Cingulata), yielding excellent quality indices (R2 = 0.53, %PE = 4.94, %SEE = 4.44). While there are other good options, we reinforce that this is an excellent tool for estimating the body mass of extinct xenarthrans.
Downloads
Published
2024-07-18
How to Cite
Trintade Dantas, M. A., Costa, J. P. da, Soares, & Fraga, R. E. (2024). An update to the regression to estimate the body mass of extinct xenarthrans. Scientia Plena, 20(6). https://doi.org/10.14808/sci.plena.2024.068002
Issue
Section
Articles
License
Copyright (c) 2024 Mário André Trintade Dantas, João Paulo da Costa, Aléxia David Santos Soares, Ricardo Evangelista Fraga
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
