Volume 3 Number 5 (Sep. 2013)
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IJAPM 2013 Vol.3(5): 336-340
doi: 10.7763/IJAPM.2013.V3.232

Multiple Regression Analysis Using ANCOVA in University Model

Maneesha , Priti Bajpai

  • Department of Mathematics, BITS, Pilani-Dubai Campus, Dubai, UAE

Abstract

The government of UAE is promoting Dubai as an academic hub. Dubai International Academic City (DIAC) is a free zone area with many national and international universities promoting higher education in almost all disciplines. The aspiration of every graduating student from the university is to get a good placement. In Dubai diverse job opportunities in national and multinational organizations are available. The objective of the paper is to review the placement opportunities in Dubai for the universities offering programs in Engineering. This paper attempts to study the effect of three independent variables namely Cumulative grade point average (CGPA), Engineering disciplines and types of jobs that graduating students are offered on the dependent variable salary. Engineering discipline understudy are Mechanical, Electronics and Communication, Computer Science and Electrical and Electronics Engineering. The type of jobs taken into consideration are marketing, technical marketing, design and logistics. The concepts of Analysis of covariance (ANCOVA) and multiple regression are used for review of placement opportunities vis a vis the salary structure.

Keywords

  • ANCOVA
  • ANOVA
  • fisher’s test statistic
  • multiple regression
232-CP023

How to Cite

Copied

Maneesha and Priti Bajpai, "Multiple Regression Analysis Using ANCOVA in University Model," International Journal of Applied Physics and Mathematics, vol. 3, no. 5, pp. 336-340, 2013. https://doi.org/ 10.7763/IJAPM.2013.V3.232

Copyright & License

Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Semi-annual
APC: 500USD
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Managing Editor: Ms. Phoebe Clifford
Abstracting/ Indexing: INSPEC(IET), CNKI, Google Scholar, EBSCO, Chemical Abstracts Services (CAS), etc.
E-mail: editor@ijapm.org
 

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