TITLE:
Forecasting Number of Students in University Department: Modeling Approach
AUTHORS:
Nichaphat Patanarapeelert, Klot Patanarapeelert
KEYWORDS:
Student Population; Regression Analysis; Descriptive Model; Explanatory Model
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.3 No.4,
July
22,
2013
ABSTRACT: In this study, the mathematical models of dynamics of student populations in the university departments are formulated. As a case study, we employ the data of registration section from Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand, from calendar year 2006 to 2010. Using regression analysis, descriptive model and explanatory model are derived. The descriptive model is linear with R2 = 0.8864. Using log-transformation, the explanatory model gives the nonlinear approximation with R2 = 0.8293. The model predicts that the number of students of Department of Mathematics, KMUTNB has a tendency to linearly increase with slope of 20 with 95% CI (6.8417, 33.1583). The application of the models in educational management is discussed.