Hi,
as you are a newbie first question: did you do standard multiple
regression analysis with a continuous dependent and several continuous
independent variables before so that you know what you get in the output
window ? And how to understand it ?
A first step is data cleaning. You should a
Well at least that rules out any known problems with PSPP.
I suggest that your next step be to run DESCRIPTIVES on that same set of
variables,
(both the dependent and independent) and see if there is anything interesting
in that.
J'
On Thu, Mar 15, 2018 at 05:50:50PM +0100, Elisa Pieri wrote:
I did update to the 0.10.2, but still the same results :(
On Thu, Mar 15, 2018 at 5:32 PM, John Darrington <
j...@darrington.wattle.id.au> wrote:
> On Thu, Mar 15, 2018 at 04:13:11PM +0100, Elisa Pieri wrote:
> Hello,
>
> I'm using PSPP (psppire 0.8.5) on Linux Mint 18.3.
>
> This versi
On Thu, Mar 15, 2018 at 04:13:11PM +0100, Elisa Pieri wrote:
Hello,
I'm using PSPP (psppire 0.8.5) on Linux Mint 18.3.
This version is very old and there have been many fixes to the REGRESSION
procedure
in recent releases.
I suggest that you upgrade.
J'
--
Avoid eavesdrop
Dear Ms Pieri,
without checking your data set it is hard to definitely say why you got
these results in PSPP. My first guess is that the number of variables in
the analysis leads to multicollinearity - the set of variables is linear
dependent or almost linear dependent - and / or a low ratio o
Hello,
I'm using PSPP (psppire 0.8.5) on Linux Mint 18.3.
Premise: I'm a big newbie in statistical analysis, so please be patient :)
I have a data set with 23 categorical variables (binary values 0/1) and a
continuous variable. I would like to calculate linear regression, using the
continuous va
