Why does dropout regularization reduce overfitting?

A$.)$ it adds a penalty weight term

B$.)$ it reduces codependency developing between two neurons

C$.)$ it forces a bootstrapping process upon the neural network

all of the above are correct

$"$B$"$ and $"$C$"$ are true but not $"$A$"$