Descriptives. Graph. [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav
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1 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 :08:06 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Descriptive Statistics N prestige education income women Valid N (listwise) Minimum Maximum Mean Std. Deviation GRAPH /SCATTERPLOT(MATRIX)=education income women prestige /MISSING=LISTWISE. Graph Page 1
2 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: Dec :16:45 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 2
3 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 :19:57 Page 3
4 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: [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav prestige loginc Page 4
5 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: bytes 0 bytes 02-Dec :21:45 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 5
6 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 a a. Predictors: (Constant), dummy.wc, education, women, loginc, dummy.prof ANOVA b Model Sum of Squares df Mean Square F 1 Regression Residual Total 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 a. Dependent Variable: prestige.072 Coefficients a EXAMINE VARIABLES=prestige BY type /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL. Explore Page 6
7 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: Dec :30:55 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav type Case Processing Summary Cases prestige type bc prof wc N Valid Percent % % % N Missing Percent 0.0% 0.0% 0.0% N Total Percent % % % prestige Page 7
8 prestige 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 :38:26 Page 8
9 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: 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
10 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate a b c a. Predictors: (Constant), education b. Predictors: (Constant), education, loginc c. Predictors: (Constant), education, loginc, dummy.prof Model Regression Residual Total Regression Residual Total Regression Residual Total Sum of Squares a. Predictors: (Constant), education b. Predictors: (Constant), education, loginc ANOVA d df c. Predictors: (Constant), education, loginc, dummy.prof d. Dependent Variable: prestige Coefficients a Mean Square F Sig. a b c Model (Constant) education (Constant) education loginc (Constant) education loginc dummy.prof Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig a. Dependent Variable: prestige Page 10
11 Model 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 a a a a b b b c c 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 :43:26 Page 11
12 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: 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 a a. Predictors: (Constant), dummy.wc, education, loginc, dummy.prof b. Dependent Variable: prestige ANOVA b Model Sum of Squares df Mean Square 1 Regression Residual a. Predictors: (Constant), dummy.wc, education, loginc, dummy.prof b. Dependent Variable: prestige F Sig. a Page 12
13 ANOVA b Model Sum of Squares df 1 Total b. Dependent Variable: prestige Model 1 (Constant) education loginc dummy.prof dummy.wc Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig a. Dependent Variable: prestige Predicted Value Residual Std. Predicted Value Minimum Coefficients a Maximum Mean Std. Deviation N Std. Residual a. Dependent Variable: prestige PPLOT /VARIABLES=ZRE_1 /NOLOG /NOSTANDARDIZE /TYPE=Q-Q /FRACTION=BLOM /TIES=MEAN /DIST=NORMAL. PPlot Residuals Statistics a Output Created Comments 02-Dec :44:34 Page 13
14 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: First observation Last observation Page 14
15 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
16 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 Standardized Residual Page 16
17 Normal Q-Q Plot of Standardized Residual 3 2 Expected Normal Value Observed Value Page 17
18 Detrended Normal Q-Q Plot of Standardized Residual Deviation from Normal 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 :45:56 Page 18
19 Resources Syntax Processor Time Elapsed Time GRAPH /HISTOGRAM=ZRE_1. 0:00: :00: [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav 20 Mean =-1.19E-15 Std. Dev. =0.980 N = 15 Frequency Standardized Residual GRAPH /SCATTERPLOT(MATRIX)=ZRE_1 education loginc /MISSING=LISTWISE. Graph Page 19
20 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: Dec :47:36 [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav Page 20
21 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 :49:16 Page 21
22 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: [DataSet1] C:\Documents and Settings\BuroK\Desktop\Prestige.sav type Case Processing Summary Cases Standardized Residual type bc prof wc N Valid Percent % % % N Missing Percent 0.0% 0.0% 0.0% N Total Percent % % % Standardized Residual Page 22
23 Standardized Residual bc prof type wc Page 23
Regression. Page 1. Notes. Output Created Comments Data. 26-Mar :31:18. Input. C:\Documents and Settings\BuroK\Desktop\Data Sets\Prestige.
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'.
DataSet2. <none> <none> <none>
GGraph Notes Output Created 09-Dec-0 07:50:6 Comments Input Active Dataset Filter Weight Split File DataSet Syntax Resources N of Rows in Working Data File Processor Time Elapsed Time 77 GGRAPH /GRAPHDATASET
Regression. Notes. Page 1 25-JAN :21:57. Output Created Comments
/STATISTICS COEFF OUTS CI(95) R ANOVA /CRITERIA=PIN(.05) POUT(.10) /DEPENDENT Favorability /METHOD=ENTER zcontemp ZAnxious6 zallcontact. Regression Notes Output Created Comments Input Missing Value Handling
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