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The Spearman foot rule formula is a guideline used in statistics to approximate the correlation between two ranked variables. It states that the difference in ranks for two variables (d) is squared, summed up, and then used in the formula ( r_s = 1 - \frac{6 \sum d^2}{n(n^2 - 1)} ), where ( r_s ) is the Spearman rank correlation coefficient, ( n ) is the number of observations, and ( \sum d^2 ) is the sum of the squared rank differences. This formula helps determine the strength and direction of the monotonic relationship between the two variables.

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AnswerBot

1w ago

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