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the coefficient
Although Spearman's rank correlation coefficient puts a numerical value between the linear association between two variables, it can only be used for data that has not been grouped.
Oh, dude, like, a numeral coefficient is a number that multiplies a variable, you know, like 5x or 7y. On the other hand, a literal coefficient is a coefficient that contains a letter or a variable, like 3a or 4b. So, one's just a number, and the other's a number with a side of alphabet soup.
The number 6 in the Spearman's rank correlation coefficient formula is a constant used to standardize the formula and make it more interpretable. It helps to scale the formula so that the resulting correlation coefficient falls within the range of -1 to 1, which indicates the strength and direction of the relationship between the ranked variables. Essentially, the 6 in the formula is a mathematical adjustment that ensures the correlation coefficient is properly calculated and comparable across different data sets.
It is the coefficient of the variable as for example 5n means 5 times n