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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Modelling the first 100 digits of the number Pi (π) using the objective regressive regression methodology

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  • Modelling the first 100 digits of the number Pi (π) using the objective regressive regression methodology

Osés RR 1, Osés LC 2, del Valle LD 3 and Fimia DR 4, *

1 Department of Forecasting, Provincial Meteorological Center of Villa Clara, Cuba. 

2 Department of Hygiene and Epidemiology. XX Anniversary Polyclinic, Santa Clara city, Villa Clara, Cuba.

3 Department of Parasitology. Regional High Specialty Hospital (HARE), Dr. Juan Graham Casasús, México.

4 Department of Hygiene and Epidemiology, Faculty of Health Technology and Nursing (FHTN), University of Medical Sciences of Villa Clara (UMS-VC), Cuba.

Research Article

International Journal of Science and Research Archive, 2025, 14(02), 543-548

Article DOI: 10.30574/ijsra.2025.14.2.0399

DOI url: https://doi.org/10.30574/ijsra.2025.14.2.0399

Received on 29 December 2024; revised on 04 February 2025; accepted on 07 February 2025

Every year the existence of the number π is celebrated around the world, new applications are presented and festivities are held. The aim of this research is to model the first 100 digits of the number π using the ROR methodology. Through this research we will see a new definition of this number and we will try to encourage undergraduate students to be motivated to study mathematics, we will also see a modelling of the first 100 digits of π. As a result, the first 100 digits of the number π can be modelled and predicted explaining 88 % of variability, with an error of 2.74. By modelling the Objective Regressive Regression (ORR), a model with more variables that also explain a high level of variance is also obtained. The short-term model depends on the variables sawtooth and inverted sawtooth, which are characteristic of the ROR model, and also depends on the number of digits two steps back linearly.

Hundred Digits; Cristosols; ROR Modelling; New Civilizations; Π-Number

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0399.pdf

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Osés RR, Osés LC, del Valle LD and Fimia DR. Modelling the first 100 digits of the number Pi (π) using the objective regressive regression methodology. International Journal of Science and Research Archive, 2025, 14(02), 543-548. Article DOI: https://doi.org/10.30574/ijsra.2025.14.2.0399.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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