Analyzing Inter-relationship of Consumer Prices in UAE Using Multiple Linear Regression - Volume 6 Number 2 (May 2018) - JOEBM

    • ISSN: 2301-3567
    • Frequency: Quarterly (2013-2014); Monthly (2015-2017); Quarterly (Since 2018)
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Mia Hu
    • Abstracting/ Indexing:  Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, and Crossref.
    • E-mail: joebm@ejournal.net
JOEBM 2018 Vol.6(2): 45-50 ISSN: 2301-3567
DOI: 10.18178/joebm.2018.6.2.548

Analyzing Inter-relationship of Consumer Prices in UAE Using Multiple Linear Regression

Iman Saeed, Sarah Baras, and Jauhar Ali
Abstract— Today’s nature of data requires a set of specialized techniques that can handle the huge and continuously growing amount of data. Regression analysis is one of the simplest techniques that predicts outputs and explains relationships in a given dataset. Regression also proves its ability to adapt to the new requirements of huge, multidimensional data. In this paper, we will use multivariable regression to study and predict the prices of a number of selected categories such as education and transportation. The data was collected by Dubai Statistical Center for monthly Consumer Price index in the Emirate of Dubai for the period from 2008 to mid-2016.

Index Terms— Predicting, multiple linear regression, consumer price index, rapid miner.

Iman Saeed, Sara Baras, and Jauhar Ali are with Abu Dhabi University, Abu Dhabi, UAE (e-mail: 1007458@students.adu.ac.ae, 1003299@students.adu.ac.ae, jauhar.ali@adu.ac.ae).

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Cite: Iman Saeed, Sarah Baras, and Jauhar Ali, " Analyzing Inter-relationship of Consumer Prices in UAE Using Multiple Linear Regression; Journal of Economics, Business and Management vol. 6, no.2, pp. 45-50, 2018.

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