I'm trying to figure out to test for a linear trend from the logistic regression. My outcome variable is age, and now it has been ordered. I've been recommended to a chi square- goodness of fit- I'm not sure if that makes sense.
OP doesn't say "boss", I was thinking at first of a non-savvy peer-reviewer. If the coefficient is significant in the model then you likely have a positive trend. Though you could always fit a general additive model (GAM), to explicitly look at the relationship to ensure it is not non-linear. Or another option is to add a quadratic term to the model and see if it is significant or do the box test? of y = x + log(x*x) [I believe, that is right but it has been awhile]. You could do the categorical approach, but if it seems apparent that there is a linear relationship, I would revert back to using the model with it as continuous variable. I am not sure what they are desiring with the chi-square, perhaps the -2loglikelihood test, but that seems inappropriate or not well define in the use case.