According to the concept of proportional reduction of error, two variables are associated when information about one can help us improve our prediction of the other.
Proportional reduction of error- This statistical criterion is used to draw knowledge of a second variable when we already have knowledge of one variable.
This method is used when we have variables in binary, say (0,1), then we can draw the value of 0 depending on the value of variable 1.
The first and foremost requirement to get the value of the other variable is the relationship between two variables, if two variables have some relationship then it is possible to find the value of the other if there is no relation between the two then it is not possible to find the value.
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