Key Terms

Resource ID: i-jsJPHO@5.142

Grade Range: HS - 12

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Key Terms

coefficient of correlation: a measure developed by Karl Pearson during the early 1900s that gives the strength of association between the independent variable and the dependent variable;
$r = \frac{n {\sum^{}}^{} x y - [{\sum^{}}^{} x] [{\sum^{}}^{} y]}{\sqrt{(n {\sum^{}}^{} x^{2} - {[{\sum^{}}^{} x]}^{2}) (n {\sum^{}}^{} y^{2} - {[{\sum^{}}^{} y]}^{2})}}$
where n is the number of data points

The coefficient cannot be more than 1 and less than –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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