Mohammed, AbuElgasim Abbas Abow (2022) Important Comparison About the Use of Multiple Linear Regression and Logistic Regression with Applications. International Journal of Mathematics and Statistics Studies, 10 (3). pp. 39-48. ISSN 2053-2229 (Print), 2053-2210 (Online)
![[thumbnail of Important Comparison About the Use of Multiple Linear regression.pdf]](https://tudr.org/style/images/fileicons/text.png)
Text
Important Comparison About the Use of Multiple Linear regression.pdf - Published Version
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (711kB) | Request a copy
Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 09 Jul 2022 14:25 |
| Last Modified: | 09 Jul 2022 14:25 |
| URI: | https://tudr.org/id/eprint/666 |
Actions (login required)
- View Item
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)