In this final project we are unsure of what doctor kim is looking for with which variable to be entered first. Smoking is the IV we are looking at so it should be entered first, but it also states that the other variables (gender, height etc.) are accounted for. Does this mean that we should enter the variables accounted for first or the most important (smoking). Also, I am enetering the height and age in the same block. Is this what is supposed to happen?
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Response from David:
Take a look at slides 6 and 7 on the "Data Analytic Strategies" ppt.
The question to ask is: are you actually concerned about gender, age, and height as predictors for FEV? If you are, then you should enter the variables in order of importance, as the notes say.
However, if the answer is that you want to see the effect of smoking on FEV after controlling for/partialing out these other variables, then you would enter these spurious/nuisance variables first.
The order of the variables you are controlling for does not matter, nor does it matter if they are in the same step or not.
I tried to be as clear as I could be without simply giving the answer away. Hope it makes sense.
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