I have a dataset and I need to perform a binary logistic regression.

The dependent variable is nominal, (1,2) but has also an unknown value (0). In the define data properties window, the unknown value is defined as

*missing*.

I need to perform a logical regr. w/ 2 scale and 1 nominal variable as covariates. I defined the nominal as categorical in the logistic regression dialog box.

Now, the problem is, whatever I do --change the method, enter only one covariate, etc, all the predicted values turn out as 1s... ie. the model does not compute properly.

I tried to delete the missing value (0) incase that was the problem, but I get the same thing. Only if I perform a multinomial regression, the results end up more 'normal' let's say.

Now, is there something I can do, like a test or anything? Something to check the integrity of my dataset?

If someone is willing I could also upload my data set for further inspection.

Thanks in advance!