Pearson Product Moment Correlation Coefficient
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66,71 |
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66,71 |
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180,00 |
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Beschrijving
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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."
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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