I got findings I have not seen before with this many cases and I wanted a second opinion
I don't know how to move the attachments around for which I apologize. As you can see in the testing Global Null Hypothesis none of the models are statistically significant. None of the parameters are either (most are not close). My guess is this might be influenced by only have 83 of the least common cases and 7 predictors (there are 533 total cases). I don't know how to interpret the Hosmer and Lemeshow test results at all, I have never seen something like this. The DV has two levels, 1 is satisfied/highly satisfied and 0 is not satisfied/highly dissatisfied.
One thing I did which may not be correct is for the 8 levels of the categorical variable (geographic areas that make up a state) I created seven dummies and put the 7 of them in the model (leaving out a reference level - the 8th level of the categorical variables). Perhaps I should just put one of the predictors in instead given the small case size?

One thing I did which may not be correct is for the 8 levels of the categorical variable (geographic areas that make up a state) I created seven dummies and put the 7 of them in the model (leaving out a reference level - the 8th level of the categorical variables). Perhaps I should just put one of the predictors in instead given the small case size?


