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For instance, Inflow of Migrants British is one of the variables that will be included in the analysis. Since we are interested in a possible existing relationship between the Inflow and the Outflow of Migrants across Citizenship given a specific year we will employ the correlation analysis and the trend analysis to reach our objective. It is worth mentioning here that the data that was extracted represents the years 1971 through 2001. The correlation analysis was created in SPSS versus the other tables that present the data in Excel.
What we observe is the following: for all countries there is a strong positive correlation between the inflow and outflow of migrants. This denotes that the more migrants enter the country the more migrants exit the country. In the same context, but this time for the British Citizens, we notice that there is a moderate negative correlation between the inflow and the outflow of migrants; this suggests that the more migrants enter the UK the less migrants leave the UK. Regarding the Non-British citizens, we state that there is a very low negative correlation which does not impact either the inflow or outflow of the country considerably.
We continue the correlation analysis for the inflow and outflow of the Commonwealth for the ALL, Old and New Variables; what we observe is that the Person correlation had very high positive values from .85 and above showing the number of migrants who enter the country is directly proportional with the number of migrants who decide to leave the Commonwealth. The same things goes for the Other Foreign migrants whose correlation is highly positive showing that the number of foreign migrants that enter are proportionate to the number of foreign migrants who leave the country.
From the correlation analysis that we have done so far it is obvious that there exist a strong relationship between the inflow and the outflow of migrants for most of the variables except for the Non-British. We notice that there are
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