What is the correlation between A and B?

Correlation describes the strength of an association between two variables, and is completely symmetrical, the correlation between A and B is the same as the correlation between B and A.

What does it mean if two factors have a strong correlation?

Correlation is a term that refers to the strength of a relationship between two variables where a strong, or high, correlation means that two or more variables have a strong relationship with each other while a weak or low correlation means that the variables are hardly related.

What is the correlation coefficient if there is a very strong correlation between two variables?

-1
If the value of the correlation coefficient is closer to 1, it indicates a very strong positive correlation between two variables and if the value of the correlation coefficient is closer to -1, it indicates a very strong negative correlation.

What is regression and correlation?

Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation.

Which correlation is strongest?

Explanation: According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

What does a correlation coefficient of 1 mean?

A value of exactly 1.0 means there is a perfect positive relationship between the two variables. For a positive increase in one variable, there is also a positive increase in the second variable. A value of -1.0 means there is a perfect negative relationship between the two variables.

What is a strong positive correlation?

Strong positive correlation: When the value of one variable increases, the value of the other variable increases in a similar fashion. Strong negative correlation: When the value of one variable increases, the value of the other variable tends to decrease.