5.What is the correlation coefficient?
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The correlation coefficient is a statistical measure used to show an association between variables or to assess the agreement between two methods. It measures the strength and direction of the linear relationship between two continuous random variables. The coefficient can be positive, indicating a positive correlation where an increase in one variable is paired with an increase in the other, or negative, indicating a negative correlation where an increase in one variable is paired with a decrease in the other. The coefficient ranges from -1 to +1, with 0 indicating no linear association. The Pearson product-moment correlation coefficient is commonly used for normally distributed data, while the Spearman rank correlation coefficient is used for non-normally distributed or ordinal data.
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3.4K Citations | The paper explains that correlation coefficient is a measure of the association between variables, specifically in the context of a linear relationship between two continuous variables. It can be expressed as the Pearson product-moment correlation or the Spearman rank correlation. |
13 Citations | The correlation coefficient (CC) is a measure of the linear association between two continuous random variables. It is defined as the ratio of the covariance between the variables to the product of their standard deviations. |
29 Citations | The paper provides information on the correlation coefficient, including its assumptions, interpretation, and limitations. However, it does not explicitly define what the correlation coefficient is. |
| The correlation coefficient (r) is a statistical measure of linear association between or among variables. |
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