> And that sounds impossible. I suspect a programming error.
>
> -Jay
you're right i programmed a food database incorrectly but i've redone
it and yep the correlation was only 0.20 for kcal or so.
it is hard to program a database *into* another database easy to make
errors..
i've made many errors in my trials.
dumbest mistake: is i listed people who left one question blank as a
dummy variable, "9999" but i forgot to filter those subjects out and
so it altered my correlation coefficient.. because people who leave
one question blank will also leave another blank.. and i got very
spurious correlations, hehe..
----------------
One of the things i have been unable to figure out is if you are
allowed to draw conclusions on very low R^2 equations. Like if only
1% of the variance is predicted by your equation but the p-value is
very small and the coefficient is very large, does that mean that this
variable has a huge effect on the dependant variable?
as an example carbohydratee has a positive effect on fasting insulin
but i found this on an R^2 of about 0.02 but the p-value was close to
zero, it was like
1E-12 and the coefficient was very large compared to kcal which i
included in the model..
i'll probably figure it out with time..
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