Analysis of neutrosophic multiple regression

• Main Authors: Nagarajan, D., Broumi, S., Smarandache, F., Kavikumar, J.
• Format: Article
• Language: English
• Published: NSS 2021
• Subjects: HA29-32 Theory and method of social science statistics
• Online Access: http://eprints.uthm.edu.my/2814/1/J12662_a0ae57fe5bd7b7ef887834cbf1c70db9.pdf; http://eprints.uthm.edu.my/2814/

The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact between the dependent and independent variables. The Neutrosophic regression equation is useful to predict the future value of the dependent variable. This paper to predict the students' performance in campus interviews is based on aptitude and personality tests, which measures conscientiousness, and predict the future trend. Neutrosophic multiple regression is to authenticate the claim and examine the null hypothesis using the F-test. This study exhibits that Neutrosophic multiple regression is the most efficient model for uncertainty rather than the classical regression models