I'm running a logistic regression to try a predict landslides in SPSS using a categorical variable (vegetation type) with 6 possible values. In the results, the variable as a whole is significant although a couple of the dummy variables have p-values > 0.05 and thus are not significant. What should I do?

I've previously posted to ask whether collapsing classes is correct and was told that I should only do this using sound scientific theory. So, if the two classes in question could theoretically be combined (i.e.

*broadleaf woodland*and

*pine woodland*into one class,

*woodland*), is it sound practice to do this in my case?

Many thanks in advance,

Matt