IBM SPSS Web Report - SPSS_Output_hmwk4key.spv Contents
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  FILE='C:\MyGithub\N736Fall2017_Homework4Key\helpmkh.sav'.
DATASETÂ NAMEÂ DataSet1Â WINDOW=FRONT.
*Â Encoding:Â UTF-8.
*Â ==========================================.
* N736 HOMEWORK 04 - Answer Key
*
* by Melinda Higgins, PhD
* updated 10/31/2018
*Â ==========================================.
REGRESSION
  /DESCRIPTIVES MEAN STDDEV CORR SIG N
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE ZPP
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT cesd
  /METHOD=ENTER indtot
  /RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID)
  /CASEWISE PLOT(ZRESID) OUTLIERS(3)
  /SAVE PRED ZPRED COOK RESID ZRESID.
[DataSet1] C:\MyGithub\N736Fall2017_Homework4Key\helpmkh.sav
Mean | Std. Deviation | N | |
cesd CESD total score - Baseline | 32.85 | 12.514 | 453 |
indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | 35.73 | 7.152 | 453 |
cesd CESD total score - Baseline | indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | ||
Pearson Correlation | cesd CESD total score - Baseline | 1.000 | .336 |
indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | .336 | 1.000 | |
Sig. (1-tailed) | cesd CESD total score - Baseline | . | .000 |
indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | .000 | . | |
N | cesd CESD total score - Baseline | 453 | 453 |
indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | 453 | 453 | |
Model | Variables Entered | Variables Removed | Method |
1 | indtot Inventory of Drug Use Consequences (InDue) total score - Baselineb | . | Enter |
a. Dependent Variable: cesd CESD total score - Baseline | |||
b. All requested variables entered. | |||
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | Durbin-Watson | ||||
R Square Change | F Change | df1 | df2 | Sig. F Change | ||||||
1 | .336a | .113 | .111 | 11.802 | .113 | 57.251 | 1 | 451 | .000 | 1.785 |
a. Predictors: (Constant), indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | ||||||||||
b. Dependent Variable: cesd CESD total score - Baseline | ||||||||||
Model | Sum of Squares | df | Mean Square | F | Sig. | ||
1 | Regression | 7973.897 | 1 | 7973.897 | 57.251 | .000b | |
Residual | 62814.593 | 451 | 139.278 | ||||
Total | 70788.490 | 452 | |||||
a. Dependent Variable: cesd CESD total score - Baseline | |||||||
b. Predictors: (Constant), indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | |||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | Correlations | Collinearity Statistics | |||||||
B | Std. Error | Beta | Lower Bound | Upper Bound | Zero-order | Partial | Part | Tolerance | VIF | |||||
1 | (Constant) | 11.866 | 2.828 | 4.196 | .000 | 6.309 | 17.423 | |||||||
indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | .587 | .078 | .336 | 7.566 | .000 | .435 | .740 | .336 | .336 | .336 | 1.000 | 1.000 | ||
a. Dependent Variable: cesd CESD total score - Baseline | ||||||||||||||
Model | Dimension | Eigenvalue | Condition Index | Variance Proportions | ||
(Constant) | indtot Inventory of Drug Use Consequences (InDue) total score - Baseline | |||||
1 | 1 | 1.981 | 1.000 | .01 | .01 | |
2 | .019 | 10.101 | .99 | .99 | ||
a. Dependent Variable: cesd CESD total score - Baseline | ||||||
Minimum | Maximum | Mean | Std. Deviation | N | |
Predicted Value | 14.21 | 38.29 | 32.85 | 4.200 | 453 |
Std. Predicted Value | -4.436 | 1.296 | .000 | 1.000 | 453 |
Standard Error of Predicted Value | .555 | 2.524 | .736 | .270 | 453 |
Adjusted Predicted Value | 13.31 | 38.42 | 32.85 | 4.210 | 453 |
Residual | -34.356 | 30.674 | .000 | 11.789 | 453 |
Std. Residual | -2.911 | 2.599 | .000 | .999 | 453 |
Stud. Residual | -2.916 | 2.637 | .000 | 1.001 | 453 |
Deleted Residual | -34.459 | 31.579 | .002 | 11.847 | 453 |
Stud. Deleted Residual | -2.940 | 2.655 | .000 | 1.003 | 453 |
Mahal. Distance | .001 | 19.680 | .998 | 2.178 | 453 |
Cook's Distance | .000 | .103 | .002 | .007 | 453 |
Centered Leverage Value | .000 | .044 | .002 | .005 | 453 |
a. Dependent Variable: cesd CESD total score - Baseline | |||||
GRAPH
  /SCATTERPLOT(BIVAR)=ZPR_1 WITH ZRE_1
  /MISSING=LISTWISE.
GRAPH
  /SCATTERPLOT(BIVAR)=id WITH COO_1
  /MISSING=LISTWISE.
GRAPH
  /SCATTERPLOT(BIVAR)=id WITH ZRE_1
  /MISSING=LISTWISE.
GRAPH
  /SCATTERPLOT(BIVAR)=indtot WITH cesd
  /MISSING=LISTWISE.
SORT CASES BY id (A).
GRAPH
  /SCATTERPLOT(BIVAR)=id WITH cesd
  /MISSING=LISTWISE.
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GRAPH
  /SCATTERPLOT(BIVAR)=id WITH indtot
  /MISSING=LISTWISE.
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* recode character race into numeric coded variable.
AUTORECODEÂ VARIABLES=racegrp
  /INTO racenum
  /PRINT.
>Error # 17006
>An already existing variable name was used on the INTO subcommand.
>Execution of this command stops.
UNIANOVA cesd BY racenum
  /METHOD=SSTYPE(3)
  /INTERCEPT=INCLUDE
  /POSTHOC=racenum(SIDAK)
  /EMMEANS=TABLES(OVERALL)
  /EMMEANS=TABLES(racenum)
  /PRINT=ETASQ HOMOGENEITY DESCRIPTIVE
  /CRITERIA=ALPHA(.05)
  /DESIGN=racenum.
Value Label | N | ||
racenum Racial Group of Respondent | 1 | black | 211 |
2 | hispanic | 50 | |
3 | other | 26 | |
4 | white | 166 | |
|
|||||
racenum Racial Group of Respondent | Mean | Std. Deviation | N | ||
1 black | 30.18 | 12.993 | 211 | ||
2 hispanic | 34.36 | 10.717 | 50 | ||
3 other | 35.92 | 12.099 | 26 | ||
4 white | 35.30 | 11.854 | 166 | ||
Total | 32.85 | 12.514 | 453 | ||
|
|||||
F | df1 | df2 | Sig. | ||
.944 | 3 | 449 | .419 | ||
Tests the null hypothesis that the error variance of the dependent variable is equal across groups. | |||||
a. Design: Intercept + racenum | |||||
|
||||||||
Source | Type III Sum of Squares | df | Mean Square | F | Sig. | Partial Eta Squared | ||
Corrected Model | 2861.028a | 3 | 953.676 | 6.304 | .000 | .040 | ||
Intercept | 266261.807 | 1 | 266261.807 | 1759.988 | .000 | .797 | ||
racenum | 2861.028 | 3 | 953.676 | 6.304 | .000 | .040 | ||
Error | 67927.462 | 449 | 151.286 | |||||
Total | 559562.000 | 453 | ||||||
Corrected Total | 70788.490 | 452 | ||||||
a. R Squared = .040 (Adjusted R Squared = .034) | ||||||||
|
|||||
Mean | Std. Error | 95% Confidence Interval | |||
Lower Bound | Upper Bound | ||||
33.941 | .809 | 32.351 | 35.531 | ||
|
||||||
Racial Group of Respondent | Mean | Std. Error | 95% Confidence Interval | |||
Lower Bound | Upper Bound | |||||
1 black | 30.180 | .847 | 28.516 | 31.844 | ||
2 hispanic | 34.360 | 1.739 | 30.942 | 37.778 | ||
3 other | 35.923 | 2.412 | 31.182 | 40.664 | ||
4 white | 35.301 | .955 | 33.425 | 37.177 | ||
|
||||||||||
(I) Racial Group of Respondent | (J) Racial Group of Respondent | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |||||
Lower Bound | Upper Bound | |||||||||
1 black | 2 hispanic | -4.18 | 1.935 | .173 | -9.29 | .93 | ||||
3 other | -5.74 | 2.556 | .142 | -12.50 | 1.01 | |||||
4 white | -5.12* | 1.276 | .000 | -8.49 | -1.75 | |||||
2 hispanic | 1 black | 4.18 | 1.935 | .173 | -.93 | 9.29 | ||||
3 other | -1.56 | 2.974 | .996 | -9.42 | 6.30 | |||||
4 white | -.94 | 1.984 | .998 | -6.18 | 4.30 | |||||
3 other | 1 black | 5.74 | 2.556 | .142 | -1.01 | 12.50 | ||||
2 hispanic | 1.56 | 2.974 | .996 | -6.30 | 9.42 | |||||
4 white | .62 | 2.594 | 1.000 | -6.23 | 7.48 | |||||
4 white | 1 black | 5.12* | 1.276 | .000 | 1.75 | 8.49 | ||||
2 hispanic | .94 | 1.984 | .998 | -4.30 | 6.18 | |||||
3 other | -.62 | 2.594 | 1.000 | -7.48 | 6.23 | |||||
Based on observed means. The error term is Mean Square(Error) = 151.286. |
||||||||||
*. The mean difference is significant at the .05 level. | ||||||||||
GRAPH
  /ERRORBAR(CI 95)=cesd BY racenum.
GRAPH
  /ERRORBAR(STDDEV 1)=cesd BY racenum.
ABOUT
Created Using: IBM SPSS Statistics 24 |
Creation Date: Nov 01, 2018 |
Document Version: Original |
Saved Date: Nov 01, 2018 |
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