INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
ANALISYS OF GLOBAL FDI AND GDP – LINEAR REGRESSION MODEL
Ahmad Subagyo
Lecturer Management of STIE GICI Depok – Indonesia
ABSTRACT
The aim of this study was to examine the relationship theoretically global Foreign Direct Investments (FDI) to the global GDP of all countries in the world. This study emphasizes the relationship between global GDP and global FDI in all countries in the world, whether in theory has a coherent nature with theoretical expectations. Multiple linear regression analysis applied in this study. According to the results of linear regression test the evolution of global FDI in terms of changes in global GDP in 2014 is inversely proportional to the existing theories. The results of this study may help us to describe the linear relationship between the variables studied. Linear regression models estimated proved to be one of the characters right, because it has a high ratio of determination R2 = 0.002, so that almost 2% FDI is explained by the independent variables included in the model. Based on all the comments made following the analysis of global GDP using the regression model, concluded that this indicator is strongly influenced by changes in the global GDP. The results obtained from this study little theory has not been in line with expectations.
KEYWORDS: GDP, FDI, linear regression.
DOI: 10.5281/zenodo.46538
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