Abstract:

In the regression analysis the variable to be predict is known as the dependent variable. The variables that are used to make the prognosis are called independent variables. In addition, to predicting the values of the dependent variable, regression analysis allows to identify the type of mathematical relationship that exists between a dependent variable and an independent variable in order to quantify the effect that the changes in the latter have on the former, as well as to identify uncommon observations. The simplest type of regression analysis is in which an independent variable and a dependent variable intervene and in which the relationship between these variables is approximated through a straight line. This type of regression analysis is called simple linear regression.

Within this context an e-learning course was developed adapting the subject regression and linear correlation in the subjects of Statistics that are imparted in the careers of Engineering in the FESC, the purpose of using the e-learning course is:
(a) to optimize its contribution to the contents, skills and competences that students must have,
(b) the integration of statistical software in courses to highlight applications to problems and real contexts of concepts and methods,
(c) the development of interactive materials that facilitate their updating and learning by experimentation,
(d) the use of a continuous assessment model that guides and prepares students in their training, and
(e) The promotion of online collaborative learning through the assignment of projects and activities to be carried out in working groups.

We consider that e-learning offers students greater flexibility with respect to the conventional method of class in the classroom since it is not necessary to be present in class to review the subject of regression and linear correlation, but once enrolled in the course, the students can receive it in any time slot, in addition the student can set their own learning rhythms, depending on the time available and the goals set.

The use of this course allows us to implement to students a new concept of the use of modern statistics, which indicates that it is not so important to memorize formulas or perform complex arithmetic calculations by hand, instead you can focus on getting results in a faster way using some kind of technology (software, advanced calculators, specialized websites, etc…) then give practical meaning to the results through critical thinking.

Keywords:

Simple linear regression, information technologies, e-learning.