قياس الاختلاف في التحصيل العلمي لطلبة جامعة بنغازي - فرع الأبيار حسب الأقسام
DOI:
https://doi.org/10.37376/sjuob.v32i2.599Keywords:
Discriminate Function, Fisher's Coefficients, Discriminate analysis, Multiple Regression ModelAbstract
The first objective of this study is to identify the factors that may affect the differences in
the educational achievement of the students of Al-Abyar University .To achieve this goal, the
multiple linear regression method was used, considering that the academic rate is the dependent
variable. Some variables, age, sex, year of graduation, study system, section, place of residence
are explanatory variables. The linear regression model is significant. The study showed that age
and sex affect the rate For graduates, where the highest academic rate is among young graduates,
and the female rate is higher than that of males. The second objective is to classify the
graduate students according to the academic average. To achieve the second objective, we used
the method of discriminate analysis. We found that age and gender are the variables that are
important in the degree of discrimination and most contribute to the classification. And then find
the relationship between multiple regression coefficients and Fisher coefficients obtained from
the discriminate analysis .We used the data we obtained from the Fisher model to construct a
multiple linear model and then tested the significance of this model.
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