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Volume 3, Issue 1, February 2015, Page: 1-5
Linear Regression, Fundamental Issue in Training and Application of Engineering
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, Faculty of Chemical Sciences and Engineering, Autonomous University of the State of Morelos, Chamilpa 62209, Morelos, México
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
Received: Dec. 9, 2014;       Accepted: Dec. 19, 2014;       Published: Jan. 20, 2015
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%.
Keywords
Component, Formatting, Style, Styling, Insert
Luz Elva Marín Vaca, Martha Lilia Domínguez Patiño, Nadia Lara Ruiz, Miguel Aguilar Cortes, Linear Regression, Fundamental Issue in Training and Application of Engineering, Science Journal of Applied Mathematics and Statistics. Vol. 3, No. 1, 2015, pp. 1-5. doi: 10.11648/j.sjams.20150301.11
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