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Across all four sports, the correlation function is close or very close to zero for all values of n (Figure 2 insets), in excellent agreement with the Poisson process, which predicts C ( n ) = 0 for all n > 0, representing no correlation in the timing of events (a result also found by [10] in basketball).
The correlation coefficient can range from values of –1 to +1, with 0 representing no correlation whatsoever between two sets of data.
The parameter rp can range in value from −1 to 1, with 0 representing no linear correlation.
The rotation angle between the vector variables represents the correlation between two phenoprints (>90° meaning no correlation).
The rank represents the correlation between the expression of the gene and the phenotype.
The SCC represents the correlation between two visual signals of images in a cortical visual space.
R2 represents the correlation coefficient.
The R value represents the correlation coefficient.
where N is the size of the correlation window, and τ represents the correlation time index.
In other words, N/M represents the correlation between the company's market cap and its net income is now negative.
A correlation coefficient of <0.5 exhibits poor correlation, 0.5 indicates good correlation and >0.5 represents excellent correlation.
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