Harrington Collins
06/24/2024 · Senior High School
\( = \frac { n ( \sum x y ) - ( \sum x ) ( \Sigma y ) } { \sqrt { [ n \Sigma x ^ { 2 } - ( \sum x ) ^ { 2 } ] [ n \Sigma y ^ { 2 } - ( \Sigma y ) ^ { 2 } ] } } \)
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The formula calculates the Pearson correlation coefficient, denoted as \( r \), which measures the strength and direction of the linear relationship between two variables \( x \) and \( y \). The value of \( r \) ranges from -1 to 1, with 1 indicating a perfect positive correlation, -1 indicating a perfect negative correlation, and 0 indicating no correlation.
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