# Understanding Correlation Coefficients

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**The correlation coefficient is given, when you perform a linear regression. It is represented by r, and is a number between -1 and 1 that indicates the strength and direction of the linear relationship between two quantitative variables in a bivariate data set, a set of data that uses 2 variables.**

**When the correlation coefficient is close to 1**

**There is a strong positive correlation between the two variables. This means that as the x values increase, the y values will also increase. For example,**

** r = 0.994**

**When the correlation coefficient is close to 0**

**There is a weak correlation between the two variables**

**For example,**

** r = -0.275**

**When the correlation coefficient is close to 1**

**There is a strong negative correlation between the two variables.**

**For example,**

** r = -0.996**