Statistical model to associate variables for determining the degree of linear dependence
DOI:
https://doi.org/10.46480/esj.4.1.51Keywords:
Immigrants, Statistical analysis, Contingency tables, Variable relationshipsAbstract
In recent years the flow of migration has increased exponentially, this could generate conflicts in the countries that host migrants, which is why through this research work and through a database obtained from the National Statistics Institute and Censuses (INEC) about the entry and exit of migrants from this country, a sample of one million people was considered, this analysis seeks to determine the percentage of foreigners entering Ecuador and also the most frequent countries of origin of For this, a statistical analysis is implemented by implementing contingency tables and the chi-square test, carried out in the programming language R. This work showed that 32.2% of migrants entering the country are foreigners, also that the Countries with the highest recurrence of migrants leaving to this country are: Venezuela, Colombia, United States, and Peru. In addition, it was found that these migrations are related to factors such as tourism and residence. In conclusion, in this work, it was possible to verify that the contingency tables are still a good statistical instrument to determine the dependence that may exist between two determined variables.
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