Linear Regression, Fundamental Issue in Training and Application of Engineering

Luz Elva Marín Vaca; Martha Lilia Domínguez Patiño; Nadia Lara Ruiz; Miguel Aguilar Cortes

doi:doi:10.11648/j.sjams.20150301.11

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Linear Regression, Fundamental Issue in Training and Application of Engineering

Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes

Published in Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 1)

Received: 9 December 2014 Accepted: 19 December 2014 Published: 20 January 2015

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Abstract

In this paper the impact on student learning in teaching linear regression and correlation analyzes, making use of new information technologies (ICT) to support Project Descartes through tasks; that allow students to research results type of scatterplot equation of the line, analysis determining prognostic variables. To conduct this research took into account two groups 28 and one of 26 students, one of them use technology and other not; the two groups were taught a class mayéutica, performing exercises topic. Both groups developed the same tasks, the group with computer; for the analysis of results, we started from a classified to determine the answers, because the practice is based on tasks with graphical and application of equations. Thus evaluation codes that were used were as follows: 1. If you have any idea = Excellent, 2. has no idea = Good 3. He did not understand anything = Poor; reaching an average rate of 70.39%, of if you have no idea, 25.76% of those who have no idea 3.43%.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 1)
DOI	10.11648/j.sjams.20150301.11
Page(s)	1-5
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

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References

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[3]	Educacional. Editorial: Pontificia Universidad Católica de Chile. Santiago.
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[6]	Becco, G. (2001). Teorías Y Vygotsky Sobre el Aprendizaje. Conceptos centrales de la Perspectiva vygotskiana. Internet: www.monografías.com.
[7]	Carretero, Mario (2009). Constructivismo y Educación. Editorial Paidós. Buenos Aires.
[8]	Cole, M. y B. Medios (1986). Cognición y pensamiento. Paidós. Buenos Aires.
[9]	Cole, M. y S. Scribner (1977). Cultura y pensamiento. Relación de los Procesos cognoscitivos con la cultura, Limosa, México.
[10]	DeVore, Jay L. (2005). Probability y Estadística párr Ingenieros y ciencias. Ed. Thomson. Sexta edición.
[11]	Galo S., José R. y M. Madrigal, Juan (2009). El Proyecto Descartes: 10 años innovando con TIC. http://descartes.cnice.mec.es/heda/difusion/materiales/xivjaem/Descartes_Galo.pdf
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APA Style

Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes. (2015). Linear Regression, Fundamental Issue in Training and Application of Engineering. Science Journal of Applied Mathematics and Statistics, 3(1), 1-5. https://doi.org/10.11648/j.sjams.20150301.11

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ACS Style

Luz Elva Marín Vaca; Martha Lilia Domínguez Patiño; Nadia Lara Ruiz; Miguel Aguilar Cortes. Linear Regression, Fundamental Issue in Training and Application of Engineering. Sci. J. Appl. Math. Stat. 2015, 3(1), 1-5. doi: 10.11648/j.sjams.20150301.11

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AMA Style

Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes. Linear Regression, Fundamental Issue in Training and Application of Engineering. Sci J Appl Math Stat. 2015;3(1):1-5. doi: 10.11648/j.sjams.20150301.11

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@article{10.11648/j.sjams.20150301.11,
  author = {Luz Elva Marín Vaca and Martha Lilia Domínguez Patiño and Nadia Lara Ruiz and Miguel Aguilar Cortes},
  title = {Linear Regression, Fundamental Issue in Training and Application of Engineering},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {3},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.sjams.20150301.11},
  url = {https://doi.org/10.11648/j.sjams.20150301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20150301.11},
  abstract = {In this paper the impact on student learning in teaching linear regression and correlation analyzes, making use of new information technologies (ICT) to support Project Descartes through tasks; that allow students to research results type of scatterplot equation of the line, analysis determining prognostic variables. To conduct this research took into account two groups 28 and one of 26 students, one of them use technology and other not; the two groups were taught a class mayéutica, performing exercises topic. Both groups developed the same tasks, the group with computer; for the analysis of results, we started from a classified to determine the answers, because the practice is based on tasks with graphical and application of equations. Thus evaluation codes that were used were as follows: 1. If you have any idea = Excellent, 2. has no idea = Good 3. He did not understand anything = Poor; reaching an average rate of 70.39%, of if you have no idea, 25.76% of those who have no idea 3.43%.},
 year = {2015}
}

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TY  - JOUR
T1  - Linear Regression, Fundamental Issue in Training and Application of Engineering
AU  - Luz Elva Marín Vaca
AU  - Martha Lilia Domínguez Patiño
AU  - Nadia Lara Ruiz
AU  - Miguel Aguilar Cortes
Y1  - 2015/01/20
PY  - 2015
N1  - https://doi.org/10.11648/j.sjams.20150301.11
DO  - 10.11648/j.sjams.20150301.11
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 1
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PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20150301.11
AB  - In this paper the impact on student learning in teaching linear regression and correlation analyzes, making use of new information technologies (ICT) to support Project Descartes through tasks; that allow students to research results type of scatterplot equation of the line, analysis determining prognostic variables. To conduct this research took into account two groups 28 and one of 26 students, one of them use technology and other not; the two groups were taught a class mayéutica, performing exercises topic. Both groups developed the same tasks, the group with computer; for the analysis of results, we started from a classified to determine the answers, because the practice is based on tasks with graphical and application of equations. Thus evaluation codes that were used were as follows: 1. If you have any idea = Excellent, 2. has no idea = Good 3. He did not understand anything = Poor; reaching an average rate of 70.39%, of if you have no idea, 25.76% of those who have no idea 3.43%.
VL  - 3
IS  - 1
ER  -

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Author Information

Luz Elva Marín Vaca

Student of Doctorate of Engineering and Applied Science, Autonomous University of the State of Morelos, Chamilpa 62209, Morelos, México
Martha Lilia Domínguez Patiño
Nadia Lara Ruiz

Student of Doctorate of Engineering and Applied Science, Autonomous University of the State of Morelos, Chamilpa 62209, Morelos, México
Miguel Aguilar Cortes

Student of Doctorate of Engineering and Applied Science, Autonomous University of the State of Morelos, Chamilpa 62209, Morelos, México

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APA Style

Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes. (2015). Linear Regression, Fundamental Issue in Training and Application of Engineering. Science Journal of Applied Mathematics and Statistics, 3(1), 1-5. https://doi.org/10.11648/j.sjams.20150301.11

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ACS Style

Luz Elva Marín Vaca; Martha Lilia Domínguez Patiño; Nadia Lara Ruiz; Miguel Aguilar Cortes. Linear Regression, Fundamental Issue in Training and Application of Engineering. Sci. J. Appl. Math. Stat. 2015, 3(1), 1-5. doi: 10.11648/j.sjams.20150301.11

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AMA Style

Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes. Linear Regression, Fundamental Issue in Training and Application of Engineering. Sci J Appl Math Stat. 2015;3(1):1-5. doi: 10.11648/j.sjams.20150301.11

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@article{10.11648/j.sjams.20150301.11,
  author = {Luz Elva Marín Vaca and Martha Lilia Domínguez Patiño and Nadia Lara Ruiz and Miguel Aguilar Cortes},
  title = {Linear Regression, Fundamental Issue in Training and Application of Engineering},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {3},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.sjams.20150301.11},
  url = {https://doi.org/10.11648/j.sjams.20150301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20150301.11},
  abstract = {In this paper the impact on student learning in teaching linear regression and correlation analyzes, making use of new information technologies (ICT) to support Project Descartes through tasks; that allow students to research results type of scatterplot equation of the line, analysis determining prognostic variables. To conduct this research took into account two groups 28 and one of 26 students, one of them use technology and other not; the two groups were taught a class mayéutica, performing exercises topic. Both groups developed the same tasks, the group with computer; for the analysis of results, we started from a classified to determine the answers, because the practice is based on tasks with graphical and application of equations. Thus evaluation codes that were used were as follows: 1. If you have any idea = Excellent, 2. has no idea = Good 3. He did not understand anything = Poor; reaching an average rate of 70.39%, of if you have no idea, 25.76% of those who have no idea 3.43%.},
 year = {2015}
}

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TY  - JOUR
T1  - Linear Regression, Fundamental Issue in Training and Application of Engineering
AU  - Luz Elva Marín Vaca
AU  - Martha Lilia Domínguez Patiño
AU  - Nadia Lara Ruiz
AU  - Miguel Aguilar Cortes
Y1  - 2015/01/20
PY  - 2015
N1  - https://doi.org/10.11648/j.sjams.20150301.11
DO  - 10.11648/j.sjams.20150301.11
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20150301.11
AB  - In this paper the impact on student learning in teaching linear regression and correlation analyzes, making use of new information technologies (ICT) to support Project Descartes through tasks; that allow students to research results type of scatterplot equation of the line, analysis determining prognostic variables. To conduct this research took into account two groups 28 and one of 26 students, one of them use technology and other not; the two groups were taught a class mayéutica, performing exercises topic. Both groups developed the same tasks, the group with computer; for the analysis of results, we started from a classified to determine the answers, because the practice is based on tasks with graphical and application of equations. Thus evaluation codes that were used were as follows: 1. If you have any idea = Excellent, 2. has no idea = Good 3. He did not understand anything = Poor; reaching an average rate of 70.39%, of if you have no idea, 25.76% of those who have no idea 3.43%.
VL  - 3
IS  - 1
ER  -

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