I am measuring three variables, and comparing the UK's data to the EU average.
I am measuring GDP, Market Size and Cost of Labour. I will be comparing the data of the UK to that of the EU average, with the aim of finding a correlation between the variables.
This is with the aim of establishing the importance these variables had upon a major car manufacturer's decision to undertake FDI in the UK, rather than another European nation.
I have looked at Pearson's correlation and Multiple regression, but as there is only two data sets, finding any significant correlation has been difficult.
Callum I think that the the decision of a major car manufacturer to undertake FDI in the UK rather than another European nation is because UK is seen as a typical nation in the EU family. However GDP, market size and cost of labour in the UK cannot be exactly the EU averages. The fact that there is only one pair of variables is not a hinderance to the determination of the correlation coefficient because it takes a pair to correlate irrespective of the actual method adopted whether Pearson, Spearman, etc. It is noteworthy that these variables are interval variables. If the calculated correlation coefficient is non-significant, so be it. It is even a reflection of the uniqueness of the UK in the EU family. We cannot bend our research findings to tally with our expectations!
Thank you, Ette and Nikolay. I agree that the research findings shouldn't be altered, so I will run the correlation tests and report on the outcome either way.
My dear Callum you can use SPSS software or any statistic software to compute correlation matrix in this matrix you can see (corr. cof r ,sig.level or p-value ,and sample size) if r the relation between any two variables is significant we see that p-value
is there any test with the help of which i can get a single value of correlation between three variables of students engagement, hard working and GPA.
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