Significance of Correlation coefficient

The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, typically denoted as 'r.' It can indicate how well data fits a model, with values close to 1 suggesting a strong linear relationship. In various studies, the correlation coefficient is utilized to evaluate the linearity of relationships, such as between drug concentration and response in analytical methods. High correlation coefficients, often above 0.999, signal reliable results in calibration analyses for pharmaceuticals.

Synonyms: Correlation, Pearson's r, Statistical relationship, Linear correlation coefficient, Pearson correlation, Correlation factor

The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.

The concept of Correlation coefficient in scientific sources

Science Books

The correlation coefficient is a statistical measure that indicates the strength and direction of relationships between variables, such as pH, temperature, and Vasti Dravya retention, and is crucial in descriptor selection and linearity analysis.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) Correlation coefficients are statistical measures that quantify the strength and direction of the relationship between two variables, used to assess the convergent validity of the TSK.[1] (2) This is a statistical measure that indicates the strength and direction of the relationship between two variables, and the Spearman correlation coefficient was used.[2] (3) The correlation coefficient analysis was used to determine the correlations between different studied parameters, providing insights into the relationships between variables.[3] (4) This is a measure used to determine the relationship between knowledge and awareness, indicating a weak but positive association.[4] (5) These are statistical measures used to determine the degree to which two variables are related to one another in a dataset.[5]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.

Plural form: Correlation coefficients.