Lets do an area problem where we wouldnt even have to know the value for k. In probability theory and statistics covariance is a measure of the joint variability of two random variables. The equations expressing combined variation take the form x kyz.
If one of the variables is desired.
Combined variation describes a situation where a variable depends on two or more other variables and varies directly with some of them and varies inversely with others when the rest of the variables are held constant. Joint variation occurs when a variable varies directly or inversely with multiple variables. In probability theory and statistics covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with the greater values of the other variable and the same holds for the lesser values that is the variables tend to show similar behavior the covariance is positive.