Mara finds that the correlation between variables a and b is .43, while the correlation between variables a and c is -.78. These results indicate that: The correlation between A and C is stronger than the correlation between A and B.
A correlation coefficient, represented by the symbol r, quantifies the strength of the link. It is a measurement of linear connection and is occasionally referred to as Pearson's correlation coefficient after its creator. Other and more complex measurements of the correlation must be utilised if a curved line is required to represent the connection.
A scale from + 1 to -1 is used to calculate the correlation coefficient. Either + 1 or -1 represents a variable's complete connection with another. The correlation is positive when one variable rises as the other rises; it is negative when one variable falls as the other rises.
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