I was just given this problem in class and it seems to me I don't have enough information. $V=16r$ and $V=4r^2$ would both satisfy the given derivative, but $\Delta r=0.1$ would produce different changes in $V$ depending on the function. Did my professor just forget to give a piece of information, am I not understanding the problem, or is perhaps the spirit of the questions more general than my approach. Is it just asking me to solve this equation: $\Delta V = 16 \Delta r$ when $\Delta r = 0.1$? Thanks for reading.
UPDATE
As Toby Mak mentions in the answer below, we can view the problem as $dV=16dr$ where an "infinitesimal nudge" to $r$ translates to 16 times that nudge to $dV$ (when $r=2$). However, when we move from infinitesimals to concrete nudges like $\Delta r=0.1$, I don't see how we could actually know whether or not we have a good approximation. As we don't have the original function, we have no error bounds, so a nudge of $0.1$ (though we generally consider this to be a small nudge) really isn't different from a nudge of 1000000. To illustrate this, consider a function $$ V(r) = \left\{ \begin{array}{ll} 16r & \quad r \leq 2.05 \\ 1000000r & \quad r > 2.05 \end{array} \right. $$ Here we have $V(2)=32$ but $V(2.1)=2100000$. So our change in $V$ was nowhere near the estimate of $1.6$. Though this function was constructed to suit my needs, if $V$ can be chosen from the set of all possible functions with a derivative of $16$ at $r=2$, then most functions won't have a $\Delta V$ that's close to 1.6.
So this brings me back to wondering what the point of this questions is, and does an approximation of $\Delta V$ make sense without having more information?