Statistics:  Covariance vs  correlation   (Covariance:) >> It is a method to find the variance between two variables. 1.      It is the relationship between a pair of random variables where a change in one variable causes change in another variable. 2.      It can take any value between -infinity to +infinity, where the negative value represents the negative relationship whereas a positive value represents the positive relationship. 3.      It is used for the linear relationship between variables. 4.      It gives the direction of the relationship between variables. 5.      It has dimensions. #success   #tableausoftware   #dataanalytics R-VALUE -------------- ** The main result of a correlation is called the correlation coefficient (or "r"). It ranges from -1.0 to +1.0. The closer r is to +1 ...