A distribution $D$ on $\{0,1\}^n$ is $k$-wise independent if any $k$ of the underlying $n$ random variables are independent and each is uniformly distributed. To me this looks similar in spirit to $D$ having $\textit{min-entropy}$ $k$.
Is there any formal relation between $k$-wise independence of a distribution and its min-entropy?