Hi! Your clicks on ads help us keep this blog going strong. If you like what you see, please consider clicking on any ads. Thanks for your support!
Karl Pearson's coefficient of correlation, often referred to as Pearson's correlation coefficient, is denoted by šr. It measures the linear relationship between two variables, providing insights into how closely the changes in one variable predict changes in another. The coefficient's value ranges from -1 to +1:
+1Ā indicates a perfect positive linear relationship.
-1Ā indicates a perfect negative linear relationship.
0Ā indicates no linear relationship between the variables.
The formula calculates the degree of linear relationship between two variables šXĀ and šY, giving a value between -1 and 1:
+1Ā or -1Ā indicates a perfect linear relationship.
A positive valueĀ implies a positive correlation, meaning that as šXĀ increases, šYĀ also increases, and vice versa.
A negative valueĀ indicates a negative correlation, meaning that as šXĀ increases, šYĀ decreases, and vice versa.
0Ā indicates no linear correlation between the variables.
Hi! Your clicks on ads help us keep this blog going strong. If you like what you see, please consider clicking on any ads. Thanks for your support!