So, I've got a number of zero-inflated negative binomial models and I want to graph them so I've been saving the predicted values. For the models that don't have any significant factors though, the values are all the same. Why is this? Shouldn't there still be at least some sort of trend, even if it's not significant? Similary, one of my models had a significant interaction (between my blocking factor and my main continuous factor). One of the blocks has all of the same values while the other block exhibits a trend. Why am I seeing this? Edit: Also, it seems like all my metrics have the same exact trend. While I know that's not completely impossible, it seems strange that they're almost all exactly the same. Does this have something to do with me using a negative binomial distribution?
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