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Card 8 / 8:
Coefficient of Correlation
a measure developed by Karl Pearson (early 1900s) that gives the strength of association between the independent variable and the dependent variable; the formula is: r = n ∑ x y − ( ∑ x ) ( ∑ y ) [ n ∑ x 2 − ( ∑ x ) 2 ] [ n ∑ y 2 − ( ∑ y ) 2 ] where n is the number of data points. The coefficient cannot be more then 1 and less then –1. The closer the coefficient is to ±1, the stronger the evidence of a significant linear relationship between x and y .
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