This study aims at analysing the relationship between GDP and subrogation ratio in the context of credit guarantee foundations. The findings show that there is the difference between the two constructs after data handing, indicating that the importance of data handing should be captured. Second, the results show that there is some data loss in the unit roots test, suggesting that data loss can be minimized in the statistical process. Finally, it is quite interesting that regressionequation before data handing is not statistically significant, whereas the negative relationship between the two constructs after data handing is statistically significant.
This study aims at analysing the relationship between GDP and subrogation ratio in the context of credit guarantee foundations. The findings show that there is the difference between the two constructs after data handing, indicating that the importance of data handing should be captured. Second, the results show that there is some data loss in the unit roots test, suggesting that data loss can be minimized in the statistical process. Finally, it is quite interesting that regression equation before data handing is not statistically significant, whereas the negative relationship between the two constructs after data handing is statistically significant.
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