Correlation analysis

With the help of correlation analysis, the linear relationship between variables can be examined. The strength of the correlation is determined by the correlation coefficient, which varies from -1 to +1. This means that correlation analyses can be used to make a statement about the strength and direction of the relationship between two variables.

Interpret correlation
Positive correlation
A positive correlation exists when larger values of variable A are accompanied by larger values of variable B. Body size and shoe size, for example, correlate positively, resulting in a correlation coefficient that lies between 0 and 1, i.e. a positive value.

Negative correlation
A negative correlation exists when larger values of variable A are accompanied by smaller values of variable B. The product price and the sales volume usually have a negative correlation; the more expensive a product is, the lower the sales volume. In this case, the correlation coefficient lies between -1 and 0, i.e. it takes on a negative value.

More information on correlation analysis:
https://datatab.net/tutorial/correlation

And here is the online correlation calculator:
https://datatab.net/statistics-calcul...