Someone asks on Reddit: Can someone intuitively explain the correlation formula? I know what the Cov(X,Y) means. It tells you if the relationship between the variables X and Y is positive or negative (although I must admit I dont really know what the actual number means, I only look the the sign). I know what the standard deviation of X & Y means. Its the average distance of every observed variable from its mean. But I cannot for the life of me understand how Cov(X,Y)/stdX*StdY gives a number between -1&1 which tells me the strength of the relationship between X & Y.

## A more intuitive explanation of the correlation

## A more intuitive explanation of the…

## A more intuitive explanation of the correlation

Someone asks on Reddit: Can someone intuitively explain the correlation formula? I know what the Cov(X,Y) means. It tells you if the relationship between the variables X and Y is positive or negative (although I must admit I dont really know what the actual number means, I only look the the sign). I know what the standard deviation of X & Y means. Its the average distance of every observed variable from its mean. But I cannot for the life of me understand how Cov(X,Y)/stdX*StdY gives a number between -1&1 which tells me the strength of the relationship between X & Y.