Evaluation of Factors Affecting Broadband Internet Access Using Regression Analysis (CROSBI ID 596815)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bahovec, Vlasta ; Dumičić, Ksenija ; Čižmešija, Mirjana
engleski
Evaluation of Factors Affecting Broadband Internet Access Using Regression Analysis
In this paper the multiple linear regression analysis is performed in order to determine factors with the greatest impact on the implementation of the broadband Internet access. The data observed in the study were the available official secondary data for 2010 and the 27 countries of the European Union and Croatia as a potential future member of the EU. Since the broadband Internet access is usually measured with the broadband penetration rate, the broadband penetration rate is selected as the dependent variable in the model. Using the stepwise least squares forward selection method three of the six analysed explanatory variables are recognised as significant. The selected model includes the following explanatory variables: the percent of urban population, frequent users of the Internet and the price of local loop unbundling in the gross national income. The model passes all diagnostics tests.
broadband Internet access; multiple linear regression; multicollinearity; Box-Ljung autocorrelation test; White’s heteroskedasticity test; Jarque-Bera test
ICIT je citiran u bazi Inspec. Raspoloživo na: http://icit.zuj.edu.jo/icit13/Papers%20list/internet.htm
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Podaci o prilogu
1-10.
2013.
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objavljeno
Podaci o matičnoj publikaciji
International Conference on Information Technology (Amman)
Ali Al-Dahoud
Amman: Al-Zaytoonah University of Jordan
978-9957-8583-1-5-
2306-6105
Podaci o skupu
ICIT 2013 The 6th International Conference on Information Technology: CLOUD COMPUTING, May 8th-10th, May, 2013, Amman, Jordan
predavanje
08.05.2013-10.05.2013
Amman, Jordan