Pearson Product Moment Correlation Coefficient

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Bol Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the Pearson product-moment correlation coefficient (sometimes referred to as the PMCC, and typically denoted by r) is a measure of the correlation (linear dependence) between two variables X and Y, giving a value between +1 and ¿1 inclusive. It is widely used in the sciences as a measure of the strength of linear dependence between two variables. It was developed by Karl Pearson from a similar but slightly different idea introduced by Francis Galton in the 1880s.[1][2] The correlation coefficient is sometimes called "Pearson's r."

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the Pearson product-moment correlation coefficient (sometimes referred to as the PMCC, and typically denoted by r) is a measure of the correlation (linear dependence) between two variables X and Y, giving a value between +1 and ¿1 inclusive. It is widely used in the sciences as a measure of the strength of linear dependence between two variables. It was developed by Karl Pearson from a similar but slightly different idea introduced by Francis Galton in the 1880s.[1][2] The correlation coefficient is sometimes called "Pearson's r."

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