Covariation and Covariation Сoefficient explained

Covariance and Correlation are very helpful in understanding the relationship between two continuous variables. Covariance tells whether both variables vary in the same direction (positive covariance) or in the opposite direction (negative covariance). There is no meaning of covariance numerical value only sign is useful. Whereas Correlation explains the change in one variable leads how much proportion change in the second variable. Correlation varies between -1 to 1. If the correlation value is 0 then it means there is no Linear Relationship between variables however other functional relationship may exist. Covariance in animal and plant breeding: #Covariance #correlation #positiveCovariance #negativeCovariance #Genetics #computationalBiology