Thank you guys for the answers
@sven I understood the use of the "binar" term: as a matter of fact, my nominal variable is actually binary, spacing from 0 to 1. Problem is, my thesis tutor wants UNIVARIATE as well as multivariate analysis of these data, so I'm forced to estimate all 100 separates (the univariate analysis, as far as I understand) and then I will estimate the 100 variables at once (multivariate analysis if Im not wrong). And Im looking for help for accelerating the First task:)
I hope I explained myself properly, sorry again for bad english.
Ty again,
Davide

Il giorno gio 22 nov 2018, 08:52 Sven Schreiber <svetosch@gmx.net> ha scritto:
Am 21.11.18 um 20:12 schrieb Davide Bertani:
>
> I would like to ask if there is a way, using Gretl, to perform a
> series of unique logistic regressions with a single command, keeping
> the same nominal variable and analyzing its relationship with a series
> of measurement variables extracted from an excel database. let me
> explain: I have a single nominal variable , A, and a series of
> measurement variables B C D (100 items). usually I will open Gretl,
> load the database, click on "logit", "binary", select the nominal
> variable and the first regressor, get the data I need (O.R., p value,
> IC 95%), copy them, and paste them into Word or Excel. then I repeat
> all again using the second regressor, then the third, and so on...a
> huge waste of time and energies.

Hi Davide,

typically it is unusual to estimate three separate equations if you
think all your explanatory variables B, C, D could have an influence.
You would put them all in at once. (Unless you have a good reason not
to, but you haven't mentioned something like that AFAICS.)

In case this caused confusion, the term "binary" in this context doesn't
mean bivariate, but it means that the dependent variable has only two
possible values, 0 and 1.

cheers,

sven


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