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 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