Important Comparison About the Use of Multiple Linear Regression and Logistic Regression with Applications (Published)
This is paper presented a multiple linear regression model and logistic regression model, according to assumptions of both models. The paper depended on logistic regression model because the dependent variable is nominal. It also used preparatory year data collected from the College of Business and Economics, Qassim University to know the effect of student grades and gender, as independent variables, on the student status as dependent variable. The paper found that the grades have not a significant effect on the student status while the gender has a significant effect on the student status. The comparison between the multiple regression model and the logistic regression model showed that the logistic regression model is the most appropriate for determining the relationship between the student’s status as a dependent variable and the students’ grades, and gender as independent variables. The paper recommends the use of logistic regression, especially if the dependent variable is nominal.
Keywords: Logistic regression, Multiple Regression, significant effect, student's status⸲ students' grades