GET FILE='C:\Documents and Settings\BuroK\Desktop\Prestige.sav'. DESCRIPTIVES VARIABLES=prestige education income women /STATISTICS=MEAN STDDEV MIN MAX. Descriptives Input Missing Value Handling Resources Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User defined missing values are treated as missing. All non-missing data are used. DESCRIPTIVES VARIABLES=prestige education income women /STATISTICS=MEAN STDDEV MIN MAX. 0:00:00 0:00:00 02-Dec-2011 12:08:06 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Descriptive Statistics N prestige education income women Valid N (listwise) Minimum 14.8 6.38 611.00 Maximum 87.2 15.97 25879 97.51 Mean 46.833 10.7380 6797.90 28.9790 Std. Deviation 17.2045 2.72844 4245.922 31.72493 GRAPH /SCATTERPLOT(MATRIX)=education income women prestige /MISSING=LISTWISE. Graph Page 1
Input Resources Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 GRAPH /SCATTERPLOT(MATRIX) =education income women prestige /MISSING=LISTWISE. 0:00:00.687 0:00:00.688 02-Dec-2011 12:16:45 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 2
prestige women income education education income women prestige COMPUTE loginc=ln(income). EXECUTE. GRAPH /SCATTERPLOT(BIVAR)=loginc WITH prestige /MISSING=LISTWISE. Graph Output Created Comments 02-Dec-2011 12:19:57 Page 3
Input Resources Data Active Dataset Filter Weight Split File N of Rows in Working Data File Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 GRAPH /SCATTERPLOT(BIVAR)=loginc WITH prestige /MISSING=LISTWISE. 0:00:00.266 0:00:00.264 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav 100.0 80.0 60.0 prestige 40.0 20.0 0.0 6.00 7.00 8.00 9.00 10.00 11.00 loginc Page 4
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER education women loginc dummy.prof dummy.wc. Regression Input Missing Value Handling Resources Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User-defined missing values are treated as missing. 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 prestige /METHOD=ENTER education women loginc dummy.prof dummy. wc. 0:00:00.016 0:00:00.014 2828 bytes 0 bytes 02-Dec-2011 12:21:45 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 5
Variables Entered/Removed Model Variables Entered Variables Removed Method 1 dummy.wc, education, women, loginc, dummy.prof a. Enter a. All requested variables entered. Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1.926 a.858.850 6.6539 a. Predictors: (Constant), dummy.wc, education, women, loginc, dummy.prof ANOVA b Model Sum of Squares df Mean Square F 1 Regression 25645.130 5 5129.026 115.848 Residual 4250.296 96 44.274 Total 29895.427 101 a. Predictors: (Constant), dummy.wc, education, women, loginc, dummy.prof b. Dependent Variable: prestige Sig. a Model 1 (Constant) education women loginc dummy.prof dummy.wc Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. -101.671 15.344-6.626 3.056 13.026 5.350-3.736 a. Dependent Variable: prestige.072 Coefficients a 1.825 3.506 2.381 EXAMINE VARIABLES=prestige BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. Explore.564.030.485.133.448.144 -.091 5.422 2.394 7.138 1.526-1.569.019.130.120 Page 6
Input Missing Value Handling Resources Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User-defined missing values for dependent variables are treated as missing. Statistics are based on cases with no missing values for any dependent variable or factor used. EXAMINE VARIABLES=prestige BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. 0:00:00.281 0:00:00.282 02-Dec-2011 12:30:55 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav type Case Processing Summary Cases prestige type bc prof wc N Valid Percent 44 100.0% 31 100.0% 23 100.0% N Missing Percent 0.0% 0.0% 0.0% N Total Percent 44 100.0% 31 100.0% 23 100.0% prestige Page 7
80.0 31 60.0 prestige 40.0 20.0 bc prof type wc REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT prestige /METHOD=FORWARD education women loginc dummy.prof dummy.wc. Regression Output Created Comments 02-Dec-2011 12:38:26 Page 8
Input Missing Value Handling Resources Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User-defined missing values are treated as missing. 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 prestige /METHOD=FORWARD education women loginc dummy.prof dummy. wc. 0:00:00.016 0:00:00.014 2828 bytes 0 bytes [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Model 1 2 Variables Entered education loginc Variables Entered/Removed a.. Variables Removed Method Forward (Criterion: Probability-of- F-to-enter <=. 050) Forward (Criterion: Probability-of- F-to-enter <=. 050) 3 dummy.prof. Forward (Criterion: Probability-of- F-to-enter <=. 050) a. Dependent Variable: prestige Page 9
Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1.850 a.723.720 9.1033 2.912 b.831.828 7.1447 3.921 c.849.844 6.7981 a. Predictors: (Constant), education b. Predictors: (Constant), education, loginc c. Predictors: (Constant), education, loginc, dummy.prof Model 1 2 3 Regression Residual Total Regression Residual Total Regression Residual Total Sum of Squares 21608.437 8286.990 29895.427 24841.788 5053.639 29895.427 25366.468 4528.959 29895.427 a. Predictors: (Constant), education b. Predictors: (Constant), education, loginc ANOVA d df 1 100 101 2 99 101 3 98 101 c. Predictors: (Constant), education, loginc, dummy.prof d. Dependent Variable: prestige Coefficients a Mean Square 21608.437 82.870 12420.894 51.047 8455.489 46.214 F 260.751 243.323 182.964 Sig. a b c Model 1 2 3 (Constant) education (Constant) education loginc (Constant) education loginc dummy.prof Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. -10.732 3.677-2.919.004 5.361-95.194 4.002 11.437-76.865 2.927 10.348 8.731 a. Dependent Variable: prestige.332 10.998.312 1.437 11.794.436 1.405 2.591.850.635.393.464.356.235 16.148-8.656 12.846 7.959-6.517 6.721 7.364 3.369.001 Page 10
Model 1 2 3 women loginc dummy.prof dummy.wc women dummy.prof dummy.wc women dummy.wc Excluded Variables d Collinearity Statistics Beta In t Sig. Partial Correlation Tolerance -.172 a -3.422.001 -.325.996.393 a 7.959.625.700.353 a 4.197.389.337 -.193 a -3.918 -.366.997.086 b 1.568.120.156.554.235 b 3.369.001.322.319 -.115 b -2.771.007 -.270.929. c 1.943.055.194.550 -.041 c -.734.465 -.074.505 a. Predictors in the Model: (Constant), education b. Predictors in the Model: (Constant), education, loginc c. Predictors in the Model: (Constant), education, loginc, dummy.prof d. Dependent Variable: prestige REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER education loginc dummy.prof dummy.wc /SAVE ZRESID. Regression Input Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 02-Dec-2011 12:43:26 Page 11
Missing Value Handling Resources Variables Created or Modified Definition of Missing Cases Used Syntax Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots ZRE_1 User-defined missing values are treated as missing. 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 prestige /METHOD=ENTER education loginc dummy.prof dummy.wc /SAVE ZRESID. 0:00:00.015 0:00:00.015 2484 bytes 0 bytes Standardized Residual [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Variables Entered/Removed Model Variables Entered Variables Removed Method 1 dummy.wc, education, loginc, dummy.prof a. Enter a. All requested variables entered. Model Summary b Adjusted R Std. Error of Model R R Square Square the Estimate 1.922 a.849.843 6.8141 a. Predictors: (Constant), dummy.wc, education, loginc, dummy.prof b. Dependent Variable: prestige ANOVA b Model Sum of Squares df Mean Square 1 Regression 25391.489 4 6347.872 Residual 4503.938 97 46.432 a. Predictors: (Constant), dummy.wc, education, loginc, dummy.prof b. Dependent Variable: prestige F 136.712 Sig. a Page 12
ANOVA b Model Sum of Squares df 1 Total 29895.427 101 b. Dependent Variable: prestige Model 1 (Constant) education loginc dummy.prof dummy.wc Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. -77.583 11.862-6.540 3.200 10.196 6.985-1.668 a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum 18. -13.8077-1.812 Coefficients a Maximum 83.857 2.335.574 1.423 3.522 2.272 Mean 46.833.508.351.188 -.041 Std. Deviation 15.8556 1 5.577 7.163 1.983 -.734 N Std. Residual -2.026 2.732.980 a. Dependent Variable: prestige PPLOT /VARIABLES=ZRE_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. PPlot Residuals Statistics a 18.6150 0 6.6778.050.465 Output Created Comments 02-Dec-2011 12:44:34 Page 13
Input Missing Value Handling Resources Use Data Active Dataset Filter Weight Split File N of Rows in Working Data File Date Definition of Missing Cases Used Syntax Processor Time Elapsed Time From To C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User-defined missing values are treated as missing. For a given sequence or time series variable, cases with missing values are not used in the analysis. Cases with negative or zero values are also not used, if the log transform is requested. PPLOT /VARIABLES=ZRE_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. 0:00:00.515 0:00:00.500 First observation Last observation Page 14
Time Series Settings (TSET) Amount of Output Saving New Variables Maximum Number of Lags in Autocorrelation or Partial Autocorrelation Plots Maximum Number of Lags Per Cross- Correlation Plots Maximum Number of New Variables Generated Per Procedure Maximum Number of New Cases Per Procedure Treatment of User- Missing Values Confidence Interval Percentage Value Tolerance for Entering Variables in Regression Equations Maximum Iterative Parameter Change Method of Calculating Std. Errors for Autocorrelations Length of Seasonal Period Variable Whose Values Label Observations in Plots Equations Include PRINT = DEFAULT NEWVAR = CURRENT MXAUTO = 16 MXCROSS = 7 MXNEWVAR = 60 MXPREDICT = 1000 MISSING = EXCLUDE CIN = 95 TOLER = 1 CNVERGE =.001 ACFSE = IND Unspecified Unspecified CONSTANT [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Model Description Series or Sequence Distribution Model Name 1 Transformation Non-Seasonal Differencing Seasonal Differencing Length of Seasonal Period Standardization Type Location Scale Applying the model specifications from MOD_1 MOD_1 Standardized Residual None No periodicity Not applied Normal estimated estimated 0 0 Page 15
Fractional Rank Estimation Method Rank Assigned to Ties Model Description Blom's Applying the model specifications from MOD_1 Mean rank of tied values Case Processing Summary Number of Missing Values in the Plot The cases are unweighted. Series or Sequence Length User-Missing System-Missing Standardized Residual 0 0 Estimated Distribution Parameters Normal Distribution Location Scale The cases are unweighted. Standardized Residual 0000.97999798 Standardized Residual Page 16
Normal Q-Q Plot of Standardized Residual 3 2 Expected Normal Value 1 0-1 -2-3 -3-2 -1 0 1 2 3 Observed Value Page 17
Detrended Normal Q-Q Plot of Standardized Residual 0.5 0.4 Deviation from Normal 0.3 0.2 0.1 0.0-0.1-0.2-3 -2-1 0 1 2 3 Observed Value GRAPH /HISTOGRAM=ZRE_1. Graph Input Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 02-Dec-2011 12:45:56 Page 18
Resources Syntax Processor Time Elapsed Time GRAPH /HISTOGRAM=ZRE_1. 0:00:00.250 0:00:00.250 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav 20 Mean =-1.19E-15 Std. Dev. =0.980 N = 15 Frequency 10 5 0-300 -200-100 000 100 200 300 Standardized Residual GRAPH /SCATTERPLOT(MATRIX)=ZRE_1 education loginc /MISSING=LISTWISE. Graph Page 19
Input Resources Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 GRAPH /SCATTERPLOT(MATRIX)=ZRE_1 education loginc /MISSING=LISTWISE. 0:00:00.219 0:00:00.219 02-Dec-2011 12:47:36 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 20
loginc education Standardized Residual Standardized Residual education loginc EXAMINE VARIABLES=ZRE_1 BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. Explore Output Created Comments 02-Dec-2011 12:49:16 Page 21
Input Missing Value Handling Resources Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Processor Time Elapsed Time C:\Documents and Settings\BuroK\Desktop\Prestige. sav DataSet1 User-defined missing values for dependent variables are treated as missing. Statistics are based on cases with no missing values for any dependent variable or factor used. EXAMINE VARIABLES=ZRE_1 BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. 0:00:00.250 0:00:00.250 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav type Case Processing Summary Cases Standardized Residual type bc prof wc N Valid Percent 44 100.0% 31 100.0% 23 100.0% N Missing Percent 0.0% 0.0% 0.0% N Total Percent 44 100.0% 31 100.0% 23 100.0% Standardized Residual Page 22
300 200 Standardized Residual 100 000-100 -200 19-300 bc prof type wc Page 23