Dear all, I've stumbled upon this thread as I am learning more and more about linear regressions with SPSS at the moment.

I have two questions:

1)

If only one is significant, then one group is significantly different than the others, meaning the entire original categorical variable is significant as well. I would include all the grouping (dummy coded) variable block into the model because they are not separate variables but a block describing the categorical variable. (other's my differ on this and if they do I'd like to hear your perspective)

Let's say I use income classes (very low, low, medium, high) as independent variable in a forward regression.

To have "very low" as reference I enter "low", "medium" and "high" into the regression.

SPSS only enters "high" into the modell.

Does this mean that all other income classes are the reference now? Or the "very low" class as reference?

2)

Is it possible to do a forward regression with blocks? I have three blocks ("income classes" in block 1, "marital status" in block 2 and "depression" in block 3). I want to see if "depression" adds explanation to the model.

It does work in SPSS, but I am not sure if it does make sense. If helpful, I am happy to post my syntax. Problem I have is that SPSS excludes non-significant variables from the modell, thus leaving me asking if a forward regression with blocks makes sense.

Hope I could make myself clear and the problems understandable.

Cheers,

Heinz