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Statistical association and mathematical model between the reading comprehension and mathematical competence in students aspiring to engineering careers

机译:渴望从事工程职业的学生的阅读理解与数学能力之间的统计联系和数学模型

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A mathematical model was defined to characterize the association between reading comprehension and mathematical competence in high school students aspiring to engineering careers at the University of the Guajira. The sample consisted of five hundred (500) students from grades six to eleven in the year 2017. The BECOMA and the Reading Comprehension Assessment Model were the instruments used to collect the information and its reliability was made through Cronbach's Alpha. The mathematical model was developed by linear regression between the variables of reading comprehension and mathematical competence for high school students with aged between 14 and 22 years. The mathematical model that best fitted the sample data was the reciprocal of natural y-logarithm of x with high statistical significance (p = 0.000), confidence level of 95%, correlation coefficient R = -0.993899 and determination of R2 = 98.7834%. The Homocedasticity of the data was verified by the F-Fisher test (p = 0.4032241), the normality by Shapiro-Wilk (p = 0.777541) and the independence of the residues by Durbin-Watson (p = 0.3149).
机译:定义了一个数学模型来表征渴望在瓜希拉大学从事工程职业的高中学生的阅读理解与数学能力之间的关联。该样本由2017年的6至11年级的五百(500)名学生组成。BECOMA和阅读理解评估模型是收集信息的工具,其可靠性是通过Cronbach的Alpha进行的。通过对14岁至22岁的中学生的阅读理解变量和数学能力之间的线性回归,建立了数学模型。最适合样本数据的数学模型是x的自然y对数的倒数,具有很高的统计显着性(p = 0.000),置信度为95%,相关系数R = -0.993899和R2的确定为98.7834%。数据的同方差通过F-Fisher检验(p = 0.4032241),Shapiro-Wilk的正态性(p = 0.777541)和Durbin-Watson的残基独立性(p = 0.3149)进行了验证。

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