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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 of cases-to-variables. At least when I did an
analysis with a multicollinear set of variables PSPP printed NaN
for standard errors, t values and significance levels of some
variables. This problem disappeared when I deleted the subset of
variables from the analysis which was linear dependent on the
other variables.
Kind regards from Germany,
Dr. Oliver Walter
Am 15.03.2018 um 16:13 schrieb Elisa
Pieri:
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 variable as the dependent one, to
understand which ones have the strongest impact.
The syntax that I'm using is:
REGRESSION
/VARIABLES= GLU4 HIS8 HIS21 GLU36 ASP57 LYS60
GLU62 HIS69 ASP75 LYS96 LYS97 ASP98 ASP120 GLU123 ASP125
LYS153 GLU160 ASP166 LYS167 ASP198 ASP217 HIS219 ASP226
/DEPENDENT= Energy
/STATISTICS=COEFF R ANOVA.
When I try to use less than 10 variables, the analysis
works, but when I use all of them I get a lot of Nan:
Model
Summary (Energy)
#====#========#=================#==========================#
# R #R Square|Adjusted R Square|Std. Error of the
Estimate#
##===#========#=================#==========================#
#|NaN# NaN| NaN|
NaN#
##===#========#=================#==========================#
ANOVA (Energy)
#===========#==============#=====#===========#===#====#
# #Sum of Squares| df |Mean Square| F |Sig.#
##==========#==============#=====#===========#===#====#
#|Regression# NaN| 23| NaN|NaN| NaN#
#|Residual # NaN|39976| NaN| | #
#|Total # 499,89|39999| | | #
##==========#==============#=====#===========#===#====#
Coefficients (Energy)
#===========#============================#=========================#===#====#
# # Unstandardized Coefficients|Standardized
Coefficients| | #
#|
#-----------+----------------+-------------------------+
| #
#| # B | Std. Error |
Beta | t |Sig.#
##==========#===========#================#=========================#===#====#
#|(Constant)# NaN|
NaN| ,00|NaN| NaN#
#|GLU4 # NaN|
NaN| NaN|NaN| NaN#
#|HIS8 # NaN|
NaN| NaN|NaN| NaN#
#|HIS21 # NaN|
NaN| NaN|NaN| NaN#
#|GLU36 # NaN|
NaN| NaN|NaN| NaN#
#|ASP57 # NaN|
NaN| NaN|NaN| NaN#
#|LYS60 # NaN|
NaN| NaN|NaN| NaN#
#|GLU62 # NaN|
NaN| NaN|NaN| NaN#
#|HIS69 # NaN|
NaN| NaN|NaN| NaN#
#|ASP75 # NaN|
NaN| NaN|NaN| NaN#
#|LYS96 # -,01|
NaN| -,01|NaN| NaN#
#|LYS97 # ,50|
NaN| ,40|NaN| NaN#
#|ASP98 # ,00|
NaN| -,01|NaN| NaN#
#|ASP120 # ,12|
NaN| ,01|NaN| NaN#
#|GLU123 # ,02|
NaN| ,04|NaN| NaN#
#|ASP125 # ,00|
NaN| -,01|NaN| NaN#
#|LYS153 # ,00|
NaN| ,01|NaN| NaN#
#|GLU160 # -,02|
NaN| -,01|NaN| NaN#
#|ASP166 # -,02|
NaN| ,00|NaN| NaN#
#|LYS167 # ,00|
NaN| ,00|NaN| NaN#
#|ASP198 # ,00|
NaN| ,00|NaN| NaN#
#|ASP217 # -,04|
NaN| -,11|NaN| NaN#
#|HIS219 # ,02|
NaN| ,08|NaN| NaN#
#|ASP226 # ,00|
NaN| ,00|NaN| NaN#
##==========#===========#================#=========================#===#====#
Is there a kind soul amongst you that would explain to me
what is going on?
Thank you very much in advance.
Elisa
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Tel.: 0431/7802809
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