There can be various measures of bit dependency. A classical measure would be how close the process is to achieving what Claude Shannon termed diffusion, which is sometimes termed the strict avalanche criterion. In this case we measure the proportion of input/output pairs for which changing the selected input bit changes the selected output bit. If the proportion is 0 this would be independence, if the proportion is close to 1/2 this would be diffusion/SAC, if the proportion is close to 0 this would be called weak dependence, if the proportion is close to 1/2 this would be called strong dependence.
For example consider the four-bit to one-bit Boolean function
$$y=x_1x_2+x_0x_1x_2x_3$$
it is easy to exhaustively check that flipping the $x_0$ or $x_3$ inputs changes the value of $y$ for 2 possible input values out of 16. This is dependency, but quite weak.
By contrast, for the function
$$z=x_0x_1+x_1x_2+x_2x_3+x_3x_0$$
it is easy to check that flipping any bit changes the value of $z$ for 8 of the possible input values out of 16. This is strong dependency.
There's a question of what we should term the cases where the proportion that change on flipping is close to 1.