Significance of Statistical correlation
Statistical correlation is a mathematical relationship observed between variables, such as age and adherence levels in nursing practice. It measures how two variables change in relation to one another, typically assessed with correlation coefficients. For example, the relationship between measurements of Jangha and height can be analyzed using metrics like Pearson’s coefficient to establish the strength and direction of the correlation between these two variables.
Synonyms: Statistical association, Statistical relationship, Correlation coefficient, Correlation analysis, Relationship, Connection, Link, Dependence, Interdependence, Covariance
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Statistical correlation in scientific sources
Statistical correlation measures how two variables change together, using correlation coefficients like Pearson’s to analyze their relationship. In this context, it evaluates the connection between Jangha and height measurements.
From: The Malaysian Journal of Medical Sciences
(1) Statistical correlations refer to the relationships between variables that are measured using statistical methods.[1] (2) A mathematical relationship that is established between two or more variables, often used to compare measurements in dental studies.[2]
From: International Journal of Pharmacology
(1) The study provided further validation by establishing a significant statistical correlation between low serum vitamin D levels and TSH.[3]