As the title says, I have a logistic regression model with a negative adjusted R2 (McFadden's), but my main predictor variable is statistically significant. This is true for the basic model that only includes x and y as well as for models that include multiple predictors.
Is it sound to conclude that x is associated with y even though my model does not fit according to the adjusted R2? Or does poor model fit mean that the statistically significant coefficients are not meaningful?
Thanks!
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