GET FILE='C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav'. GET FILE='E:\MacEwan\Teaching\Stat252\Data\SPSS_data\MENTALID.sav'. DATASET ACTIVATE DataSet1. DATASET CLOSE DataSet2. GET FILE='E:\MacEwan\Teaching\Stat252\Data\SPSS_data\survey_part.sav'. DATASET ACTIVATE DataSet1. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl income.bc income.wc. Regression Input Missing Value Handling Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax DataSet1 26-Mar-212 8:31:18 C:\Documents and Settings\BuroK\Desktop\Data Sets\Prestige.sav 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(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl income.bc income.wc. Page 1
Resources Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots :: ::.31 2868 bytes bytes [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Variables Entered/Removed Variables Entered Variables Removed Method 1 income.wc, income, income.bc, dummy.bl, dummy.wc a. Enter a. All requested variables entered. Summary Adjusted R Std. Error of R R Square Square the Estimate 1.865 a.749.736 8.843 a. Predictors: (Constant), income.wc, income, income.bc, dummy.bl, dummy.wc ANOVA b Sum of Squares df Mean Square F 1 Regression 22392.948 5 4478.59 57.37 Residual 752.478 96 78.151 Total 29895.427 11 a. Predictors: (Constant), income.wc, income, income.bc, dummy.bl, dummy.wc b. Dependent Variable: prestige Sig. a 1 (Constant) income dummy.wc dummy.bl income.bc income.wc Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 48.524 2.991 16.226.2-15.638-34.619.2 a. Dependent Variable: prestige Coefficients a 6.27 4.877.1.1.394 -.382-1.2.42.34 5.999-2.595-7.98 3.356.255.11.1.799 Page 2
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl. 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\Data Sets\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(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl. :: ::.17 2188 bytes bytes 26-Mar-212 8:32:35 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Page 3
Variables Entered/Removed Variables Entered Variables Removed Method 1 dummy.bl, income, dummy.wc a. Enter a. All requested variables entered. Summary Adjusted R Std. Error of R R Square Square the Estimate 1.848 a.72.711 9.2488 a. Predictors: (Constant), dummy.bl, income, dummy.wc 1 Regression Residual Total Sum of Squares 21512.531 8382.896 29895.427 ANOVA b df 3 98 11 a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a Mean Square 717.844 85.54 F 83.831 Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 45.369 2.899 15.648.2-12.827-2.162 a. Dependent Variable: prestige 2.746 2.363 REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl /SAVE RESID. Regression.474 -.313 -.583 7.656-4.671-8.532 Page 4
Input Missing Value Handling Resources Variables Created or Modified 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 RES_1 C:\Documents and Settings\BuroK\Desktop\Data Sets\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(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl /SAVE RESID. ::.15 ::.16 2196 bytes bytes 26-Mar-212 8:44:7 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Variables Entered/Removed Variables Entered Variables Removed Method 1 dummy.bl, income, dummy.wc a. Enter a. All requested variables entered. Page 5
ANOVA b Sum of Squares df Mean Square 1 Regression 21512.531 3 717.844 Residual 8382.896 98 85.54 Total 29895.427 11 a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a F 83.831 Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 45.369 2.899 15.648.2-12.827-2.162 a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum 28.387-32.3319-1.264 Maximum 95.64 3.35 2.746 2.363 Mean 46.833.474 -.313 -.583 Std. Deviation 14.5944 1 7.656-4.671-8.532 N Std. Residual -3.496 2.74.985 a. Dependent Variable: prestige PPLOT /VARIABLES=RES_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. PPlot Residuals Statistics a 25.113 9.114 Output Created Comments 26-Mar-212 8:44:27 Page 6
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\Data Sets\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=RES_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. ::.96 ::1.312 First observation Last observation Page 7
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 = 6 MXPREDICT = 1 MISSING = EXCLUDE CIN = 95 TOLER = 1 CNVERGE =.1 ACFSE = IND Unspecified Unspecified CONSTANT [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Description Series or Sequence Distribution 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 None No periodicity Not applied Normal estimated estimated Page 8
Fractional Rank Estimation Method Rank Assigned to Ties 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 Unstandardiz ed Residual Estimated Distribution Parameters Normal Distribution Location Scale The cases are unweighted. Unstandardiz ed Residual 9.1137711 Page 9
Normal Q-Q Plot of 3 2 Expected Normal Value 1-1 -2-3 -4-3 -2-1 1 2 3 Observed Value Page 1
Detrended Normal Q-Q Plot of 4 2 Deviation from Normal -2-4 -6-8 -1-4 -3-2 -1 1 2 3 Observed Value GRAPH /SCATTERPLOT(BIVAR)=income WITH RES_1 /MISSING=LISTWISE. Graph Output Created Comments 26-Mar-212 8:46:57 Page 11
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\Data Sets\Prestige.sav DataSet1 GRAPH /SCATTERPLOT(BIVAR)=income WITH RES_1 /MISSING=LISTWISE. ::.23 ::.22 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav 2-2 -4 5 1 15 2 25 3 income Page 12
EXAMINE VARIABLES=RES_1 BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. Explore 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\Data Sets\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=RES_1 BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. ::.188 ::.187 26-Mar-212 8:48:4 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav type Case Processing Summary Cases type bc prof wc N Valid Percent 44 1.% 31 1.% 23 1.% N Missing Percent.%.%.% N Total Percent 44 1.% 31 1.% 23 1.% Page 13
3 31 2 1-1 -2 2-3 bc prof type wc REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl /SAVE PRED RESID. Regression Output Created Comments 26-Mar-212 8:5:39 Page 14
Input Missing Value Handling Resources Variables Created or Modified 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 PRE_1 RES_2 C:\Documents and Settings\BuroK\Desktop\Data Sets\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(.5) POUT(.1) /NOORIGIN /DEPENDENT prestige /METHOD=ENTER income dummy.wc dummy.bl /SAVE PRED RESID. ::.16 ::.14 222 bytes bytes Unstandardized Predicted Value [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Variables Entered/Removed Variables Entered Variables Removed Method 1 dummy.bl, income, dummy.wc a. Enter a. All requested variables entered. Summary b Adjusted R Std. Error of R R Square Square the Estimate 1.848 a.72.711 9.2488 a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Page 15
ANOVA b Sum of Squares df Mean Square 1 Regression 21512.531 3 717.844 Residual 8382.896 98 85.54 Total 29895.427 11 a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a F 83.831 Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. 45.369 2.899 15.648.2-12.827-2.162 a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum 28.387-32.3319-1.264 Maximum 95.64 3.35 2.746 2.363 Mean 46.833.474 -.313 -.583 Std. Deviation 14.5944 1 7.656-4.671-8.532 N Std. Residual -3.496 2.74.985 a. Dependent Variable: prestige Residuals Statistics a 25.113 GRAPH /SCATTERPLOT(BIVAR)=PRE_1 WITH RES_1 /MISSING=LISTWISE. Graph 9.114 Input Output Created Comments Data Active Dataset Filter Weight Split File N of Rows in Working Data File C:\Documents and Settings\BuroK\Desktop\Data Sets\Prestige.sav DataSet1 26-Mar-212 8:5:57 Page 16
Resources Syntax Processor Time Elapsed Time GRAPH /SCATTERPLOT(BIVAR)=PRE_1 WITH RES_1 /MISSING=LISTWISE. ::.297 ::.298 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav 2-2 -4 2 4 6 8 Unstandardized Predicted Value 1 Page 17