OUTPUT

NEW FILE.
DATASET NAME DataSet1 WINDOW=FRONT.
SAVE OUTFILE='C:\Users\medsound\Documents\THM 103\Exemple regression par WV.sa
v'
/COMPRESSED.
DESCRIPTIVES VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/STATISTICS=MEAN STDDEV MIN MAX.
Descriptives
Notes
Output Created
Comments
Input Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
14-FEB-2021 06:24:49
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
DataSet1
<none>
<none>
<none>
40
User defined missing
values are treated as
missing.
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
STDDEV MIN MAX.
00:00:00.00
00:00:00.02
[DataSet1] C:\Users\medsound\Documents\THM 103\Exemple regression par WV.sav
Page 1

Descriptive Statistics
NMinimum Maximum Mean Std. Deviation
COMPULS
ILLUSION
IRRATION
SCOLAR
Valid N (listwise)
40 7.60 15.10 12.0525 2.53154
40 14.40 32.30 23.2025 5.50866
40 8.20 17.20 11.9700 2.32149
40 6.00 19.00 11.8250 3.78179
40
DESCRIPTIVES VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN.
Descriptives
Notes
Output Created
Comments
Input Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
14-FEB-2021 06:26:16
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
DataSet1
<none>
<none>
<none>
40
User defined missing
values are treated as
missing.
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
SUM STDDEV
VARIANCE RANGE MIN
MAX SEMEAN.
00:00:00.00
00:00:00.02
Page 2

Descriptive Statistics
NRange Minimum Maximum Sum Mean
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error
COMPULS
ILLUSION
IRRATION
SCOLAR
Valid N (listwise)
40 7.50 7.60 15.10 482.10 12.0525 .40027 2.53154
40 17.90 14.40 32.30 928.10 23.2025 .87100 5.50866
40 9.00 8.20 17.20 478.80 11.9700 .36706 2.32149
40 13.00 6.00 19.00 473.00 11.8250 .59795 3.78179
40
Descriptive Statistics
Std. Deviation Variance
Statistic Statistic
COMPULS
ILLUSION
IRRATION
SCOLAR
Valid N (listwise)
2.53154 6.409
5.50866 30.345
2.32149 5.389
3.78179 14.302
DESCRIPTIVES VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN KURTOSIS SKEWNESS.
Descriptives
Page 3

Notes
Output Created
Comments
Input Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor Time
Elapsed Time
14-FEB-2021 06:29:23
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
DataSet1
<none>
<none>
<none>
40
User defined missing
values are treated as
missing.
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
SUM STDDEV
VARIANCE RANGE MIN
MAX SEMEAN
KURTOSIS SKEWNESS.
00:00:00.02
00:00:00.06
Descriptive Statistics
NRange Minimum Maximum Sum Mean
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error
COMPULS
ILLUSION
IRRATION
SCOLAR
Valid N (listwise)
40 7.50 7.60 15.10 482.10 12.0525 .40027 2.53154
40 17.90 14.40 32.30 928.10 23.2025 .87100 5.50866
40 9.00 8.20 17.20 478.80 11.9700 .36706 2.32149
40 13.00 6.00 19.00 473.00 11.8250 .59795 3.78179
40
Page 4

Descriptive Statistics
Std. Deviation Variance Skewness Kurtosis
Statistic Statistic Statistic Std. Error Statistic Std. Error
COMPULS
ILLUSION
IRRATION
SCOLAR
Valid N (listwise)
2.53154 6.409 -.367 .374 -1.256 .733
5.50866 30.345 .261 .374 -1.358 .733
2.32149 5.389 .348 .374 -.374 .733
3.78179 14.302 .427 .374 -.980 .733
CORRELATIONS
/VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created
Comments
Input Data
Active Dataset
Filter
Weight
Split File
N of Rows in Working Data
File
Missing Value Handling Definition of Missing
Cases Used
14-FEB-2021 06:34:18
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
DataSet1
<none>
<none>
<none>
40
User-defined missing
values are treated as
missing.
Statistics for each pair of
variables are based on all
the cases with valid data
for that pair.
...
Page 5