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Abstract:
We study two notions of negative influence namely negative regression and
negative association. We show that if a set of symmetric binary random
variables are negatively regressed then they are necessarily negatively
associated. The proof uses a lemma that is of independent interest and
shows that every binary symmetric distribution has a variable of
``positive influence''. We also show that in general the notion of negative
regression is different from that of negative association.
