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-Correlation between two variables does not necessarily imply causation although researchers often tend to interpret such relationship to mean causation.
-A correlation coefficient is an index and therefore any two variables will always have a relationship even when common sense dictates that such variables are not related. for example, a correlation can be computed between weight and level of education even though this relationship is meaningless.
-The correlation coefficient, it is very sensitive to the size of the sample. If the data collected from two subjects only the value of the correlation coefficient will be exactly equal to 1.0. As sample size increases, the correlation drops and then stabilizes when the sample size is big enough. Therefore small samples in correlation studies yield erroneous results.
maurice.mutuku answered the question on October 3, 2019 at 07:18
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