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CORRELATION COEFFICIENT
The correlation coefficient may refer to Pearson product-moment correlation coefficient which is also known as r, R, or Pearson's r. This is a measure of the strength as well as the direction of the linear relationship between two variables that are defined in terms of the sample covariance of the variables. These variables are usually divided by their sample standard deviations and the value of Pearson's correlation coefficient. Like all other estimates for continuous dependent variables, it is influenced by the distribution of the independent variable in the sample.
Correlation where correlation refers to any of a broad class of statistical relationships involving dependence which is a broad class of statistical relationships between two or more random variables or observed data values
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The goodness of fit of a statistical model describes how well it fits a set of observations. It usually refers to any of several measures that measure how well a statistical model fits the observations. This is done by summarizing the discrepancy between observed values and the values expected under the model in question.
A coefficient of determination can be defined as the measure of the proportion of variability in a data set that is accounted by a statistical model. This is often called R2 which is equal in a single-variable linear regression to the square of Pearson's product-moment correlation coefficient. This is usually the strength of the linear relationship between the values.
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Intraclass correlation is described as the descriptive statistics that can be used when quantitative measurements are made on a statistical unit that is organized into groups. This is used when quantitative measurements are made on units that are organized into groups and which describes how strongly units in the same group resemble each other.
Rank correlation is the relationship between the different ranking of the same set of items. It is the study of relationships between different rankings on the same set of items
Spearman's rank correlation coefficient is a non-parametric statistics measure of correlation and dependence between two variables. This is used to measure how well the relationship between two variables can be described by a monotonic function.
Kendall tau rank correlation coefficient can be defined as the statistic used to measure the association between two measured quantities. This is used to measure the portion of ranks that match between two data sets.
