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>Mathematical model to characterize the association between motivation and the degree of execution of the task in engineering students
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Mathematical model to characterize the association between motivation and the degree of execution of the task in engineering students
The present investigation allowed to develop a mathematical model to characterize the association between the motivation and the degree of execution of the task in engineering students of the University of Cartagena. The sample was composed of nine hundred and fifty (950) students between 2014 and 2016. The instrument for collecting the information was the Self-Regulation Inventory for Learning (SRLI) designed by Lindner, Harris and Gordon and validated by Cronbach's Alpha. The mathematical model was chosen by making a linear regression between the motivation and the execution of the task for engineering students with aged between 17 and 25 years. The selected mathematical model with high statistical significance (p = 0.000) that best fit the data was the reciprocal of y- natural logarithm of x with a confidence level of 95%, correlation coefficient of R = -0.965202 and R2 = 93.1615%. The normality test used was that of Shapiro-Wilk (0.83), the independence of the residues was evaluated with Durbin-Watson (0.83) and the Homoscedasticity by F-Fisher (0.087).
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