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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
14-FEB-2021 06:24:49
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
Definition of Missing
User defined missing
values are treated as
missing.
Cases Used
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
STDDEV MIN MAX.
Syntax
Resources
40
Processor Time
00:00:00.00
Elapsed Time
00:00:00.02
[DataSet1] C:\Users\medsound\Documents\THM 103\Exemple regression par WV.sav
Page 1
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
COMPULS
40
7.60
15.10
12.0525
2.53154
ILLUSION
40
14.40
32.30
23.2025
5.50866
IRRATION
40
8.20
17.20
11.9700
2.32149
SCOLAR
40
6.00
19.00
11.8250
3.78179
Valid N (listwise)
40
DESCRIPTIVES VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN.
Descriptives
Notes
Output Created
14-FEB-2021 06:26:16
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
Definition of Missing
User defined missing
values are treated as
missing.
Cases Used
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
SUM STDDEV
VARIANCE RANGE MIN
MAX SEMEAN.
Syntax
Resources
40
Processor Time
00:00:00.00
Elapsed Time
00:00:00.02
Page 2
Descriptive Statistics
N
Range
Minimum
Maximum
Sum
Mean
Statistic
Statistic
Statistic
Statistic
Statistic
Statistic
Std. Error
COMPULS
40
7.50
7.60
15.10
482.10
12.0525
.40027
2.53154
ILLUSION
40
17.90
14.40
32.30
928.10
23.2025
.87100
5.50866
IRRATION
40
9.00
8.20
17.20
478.80
11.9700
.36706
2.32149
SCOLAR
40
13.00
6.00
19.00
473.00
11.8250
.59795
3.78179
Valid N (listwise)
40
Descriptive Statistics
Std. Deviation
Variance
Statistic
Statistic
COMPULS
2.53154
6.409
ILLUSION
5.50866
30.345
IRRATION
2.32149
5.389
SCOLAR
3.78179
14.302
Valid N (listwise)
DESCRIPTIVES VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN KURTOSIS SKEWNESS.
Descriptives
Page 3
Notes
Output Created
14-FEB-2021 06:29:23
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
40
Definition of Missing
User defined missing
values are treated as
missing.
Cases Used
All non-missing data are
used.
DESCRIPTIVES
VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/STATISTICS=MEAN
SUM STDDEV
VARIANCE RANGE MIN
MAX SEMEAN
KURTOSIS SKEWNESS.
Syntax
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.06
Descriptive Statistics
N
Range
Minimum
Maximum
Sum
Statistic
Statistic
Statistic
Statistic
Statistic
Statistic
Mean
Std. Error
COMPULS
40
7.50
7.60
15.10
482.10
12.0525
.40027
2.53154
ILLUSION
40
17.90
14.40
32.30
928.10
23.2025
.87100
5.50866
IRRATION
40
9.00
8.20
17.20
478.80
11.9700
.36706
2.32149
SCOLAR
40
13.00
6.00
19.00
473.00
11.8250
.59795
3.78179
Valid N (listwise)
40
Page 4
Descriptive Statistics
Std. Deviation
Variance
Skewness
Statistic
Statistic
Statistic
Kurtosis
Std. Error
Statistic
Std. Error
COMPULS
2.53154
6.409
-.367
.374
-1.256
.733
ILLUSION
5.50866
30.345
.261
.374
-1.358
.733
IRRATION
2.32149
5.389
.348
.374
-.374
.733
SCOLAR
3.78179
14.302
.427
.374
-.980
.733
Valid N (listwise)
CORRELATIONS
/VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created
14-FEB-2021 06:34:18
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
40
Definition of Missing
User-defined missing
values are treated as
missing.
Cases Used
Statistics for each pair of
variables are based on all
the cases with valid data
for that pair.
Page 5
...
Notes
CORRELATIONS
Syntax
/VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/PRINT=TWOTAIL
NOSIG...
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.02
Correlations
COMPULS
COMPULS
ILLUSION
ILLUSION
.031
.003
.361
40
40
40
40
*
1
.132
-.132
.416
.417
Pearson Correlation
.342
Sig. (2-tailed)
.031
N
IRRATION
Pearson Correlation
Sig. (2-tailed)
N
SCOLAR
Pearson Correlation
Sig. (2-tailed)
N
SCOLAR
-.148
1
Sig. (2-tailed)
N
IRRATION
**
Pearson Correlation
*
.342
.459
40
40
40
40
**
.132
1
-.465**
.003
.416
40
40
40
40
-.148
-.132
**
1
.361
.417
.002
40
40
40
.459
.002
-.465
40
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
CORRELATIONS
/VARIABLES=COMPULS ILLUSION IRRATION SCOLAR
/PRINT=ONETAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Page 6
Notes
Output Created
14-FEB-2021 06:36:40
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
40
Definition of Missing
User-defined missing
values are treated as
missing.
Cases Used
Statistics for each pair of
variables are based on all
the cases with valid data
for that pair.
CORRELATIONS
Syntax
/VARIABLES=COMPULS
ILLUSION IRRATION
SCOLAR
/PRINT=ONETAIL ...
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.06
Page 7
Correlations
COMPULS
COMPULS
ILLUSION
ILLUSION
.015
.001
.180
40
40
40
40
*
1
.132
-.132
.208
.208
Pearson Correlation
.342
Sig. (1-tailed)
.015
N
IRRATION
Pearson Correlation
Sig. (1-tailed)
N
SCOLAR
Pearson Correlation
Sig. (1-tailed)
N
SCOLAR
-.148
1
.342
Sig. (1-tailed)
N
IRRATION
**
Pearson Correlation
*
.459
40
40
40
40
**
.132
1
-.465**
.001
.208
40
40
40
40
-.148
-.132
**
1
.180
.208
.001
40
40
40
.459
.001
-.465
40
*. Correlation is significant at the 0.05 level (1-tailed).
**. Correlation is significant at the 0.01 level (1-tailed).
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT COMPULS
/METHOD=ENTER ILLUSION IRRATION SCOLAR.
Regression
Page 8
Notes
Output Created
14-FEB-2021 06:39:27
Comments
Input
Data
C:
\Users\medsound\Docume
nts\THM 103\Exemple
regression par WV.sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
Missing Value Handling
Definition of Missing
User-defined missing
values are treated as
missing.
Cases Used
Statistics are based on
cases with no missing
values for any variable
used.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT
COMPULS
/METHOD=ENTER
ILLUSION IRRATION
SCOLAR.
Syntax
Resources
40
Processor Time
00:00:00.03
Elapsed Time
00:00:00.05
Memory Required
3456 bytes
Additional Memory
Required for Residual Plots
0 bytes
Page 9
a
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed
SCOLAR,
ILLUSION,
IRRATION b
1
Method
.
Enter
a. Dependent Variable: COMPULS
b. All requested variables entered.
Model Summary
R
Model
.548a
1
R Square
Adjusted R
Square
.300
Std. Error of the
Estimate
.242
2.20400
a. Predictors: (Constant), SCOLAR, ILLUSION, IRRATION
a
ANOVA
Sum of
Squares
Model
1
Regression
df
Mean Square
75.066
3
25.022
Residual
174.874
36
4.858
Total
249.940
39
F
Sig.
5.151
.005b
a. Dependent Variable: COMPULS
b. Predictors: (Constant), SCOLAR, ILLUSION, IRRATION
Coefficients
Unstandardized Coefficients
B
Model
1
Std. Error
(Constant)
1.905
3.218
ILLUSION
.135
.065
IRRATION
.513
SCOLAR
.073
a
Standardized
Coefficients
Beta
t
Sig.
.592
.558
.295
2.088
.044
.172
.470
2.977
.005
.106
.109
.692
.493
a. Dependent Variable: COMPULS
Page 10
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