Regression. Page 1. Notes. Output Created Comments Data. 26-Mar :31:18. Input. C:\Documents and Settings\BuroK\Desktop\Data Sets\Prestige.

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1 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

2 Resources Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots :: :: 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 a a. Predictors: (Constant), income.wc, income, income.bc, dummy.bl, dummy.wc ANOVA b Sum of Squares df Mean Square F 1 Regression Residual Total 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 a. Dependent Variable: prestige Coefficients a Page 2

3 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. :: :: bytes bytes 26-Mar-212 8:32:35 [DataSet1] C:\Documents and Settings\BuroK\Desktop\DataSets\Prestige.sav Page 3

4 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 a a. Predictors: (Constant), dummy.bl, income, dummy.wc 1 Regression Residual Total Sum of Squares ANOVA b df a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a Mean Square F Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig a. Dependent Variable: prestige 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 Page 4

5 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 :: 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

6 ANOVA b Sum of Squares df Mean Square 1 Regression Residual Total a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a F Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum Maximum Mean Std. Deviation N Std. Residual a. Dependent Variable: prestige PPLOT /VARIABLES=RES_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. PPlot Residuals Statistics a Output Created Comments 26-Mar-212 8:44:27 Page 6

7 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

8 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

9 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 Page 9

10 Normal Q-Q Plot of 3 2 Expected Normal Value Observed Value Page 1

11 Detrended Normal Q-Q Plot of 4 2 Deviation from Normal Observed Value GRAPH /SCATTERPLOT(BIVAR)=income WITH RES_1 /MISSING=LISTWISE. Graph Output Created Comments 26-Mar-212 8:46:57 Page 11

12 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 income Page 12

13 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 :: 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

14 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

15 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 :: 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 a a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Page 15

16 ANOVA b Sum of Squares df Mean Square 1 Regression Residual Total a. Predictors: (Constant), dummy.bl, income, dummy.wc b. Dependent Variable: prestige Coefficients a F Sig. a 1 (Constant) income dummy.wc dummy.bl Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum Maximum Mean Std. Deviation N Std. Residual a. Dependent Variable: prestige Residuals Statistics a GRAPH /SCATTERPLOT(BIVAR)=PRE_1 WITH RES_1 /MISSING=LISTWISE. 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\Data Sets\Prestige.sav DataSet1 26-Mar-212 8:5:57 Page 16

17 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 Unstandardized Predicted Value 1 Page 17

Descriptives. Graph. [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav

$Descriptives. Graph. [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav$ 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