TWO-DIMENSIONAL STATISTICAL ANALYSIS APPLIED

Authors

  • Sarley de Araújo Silva Universidade Federal do Pará
  • Lourdiane Gonçalves de Castro Universidade Paulista- UNIP

DOI:

https://doi.org/10.51891/rease.v8i4.5051

Keywords:

Multivariate analysis. Multiple Linear Regression and Covariance.

Abstract

The two-dimensional study and analysis makes it possible to compare quantitative variables in statistical problems. It aimed to analyze and explore multiple relationships between variables. In carrying out the study, the statistical method was used, with a quantitative focus, with objectivity in the analysis of independent and dependent variables. With the software, which consisted of the participation of the students in which the work was developed. In the actions of the activities, it was submitted to explore the analyzes through: definition, construction of graphs and analysis of dispersion, with the purpose of making applied statistics more meaningful and present, valuing the construction of knowledge. In this work, it was observed that the students easily understood the bivariate analysis using the statistical resource, as they developed ideas about the proposal placed in direct contact with the applied statistics method. The results obtained in the graphs presented during this study allowed us to compare variables in statistical problems, providing clear and precise solutions to the most complex questions. It was concluded that the methodology used was successful in making it possible to adjust the multivariate models.

Author Biographies

Sarley de Araújo Silva, Universidade Federal do Pará

Mestre em Engenharia de Processos – PPGEP/ITEC-UFPA. E-mail: sarley.silva@ifam.edu.br

Lourdiane Gonçalves de Castro, Universidade Paulista- UNIP

Graduada em Licenciatura em Pedagogia pela UNIP.

Published

2022-04-30

How to Cite

Silva, S. de A. ., & Castro, L. G. de . (2022). TWO-DIMENSIONAL STATISTICAL ANALYSIS APPLIED. Revista Ibero-Americana De Humanidades, Ciências E Educação, 8(4), 248–261. https://doi.org/10.51891/rease.v8i4.5051