data science question

MBA_Data_Miner

question for experts:

if  your dependent variable is something like success percentage  ( calculated on two other variables total attempts and successful attempts). Success percentage is calculated as follows:

IE  Success Percentage (S) = Total successful attempts (A) / Total attempts  (T)


Does it make sense to exclude total successful attempts (A) as an independent variable in predictive models using S as the dependent variable? If so, why?

I am thinking it should be excluded to avoid allowing the model to "cheat" by using a variable that is not completely independent to the dependent variable.