latihan

1. Partial Corr
Notes
Output Created 05-May-2011 13:13:46
Comments
Input Data C:UsersuserDesktoptugas spss
kelompok 6.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data 60
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
missing data for any variable listed.
Syntax PARTIAL CORR
/VARIABLES=Usia Merokok BY
Berlari Berat
/SIGNIFICANCE=TWOTAIL
/MISSING=LISTWISE.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Correlations
Control Variables Usia Merokok
Kemampuan Berlari & Berat Usia Correlation 1.000 -.019
Badan
Significance (2-tailed) . .885
df 0 56
Merokok Correlation -.019 1.000
Significance (2-tailed) .885 .

2. df 56 0
Partial Corr
Notes
Output Created 05-May-2011 13:14:47
Comments
Input Data C:UsersuserDesktoptugas spss
kelompok 6.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data 60
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
missing data for any variable listed.
Syntax PARTIAL CORR
/VARIABLES=Usia Merokok Berat
Kelamin BY Berlari
/SIGNIFICANCE=TWOTAIL
/MISSING=LISTWISE.
Resources Processor Time 0:00:00.016
Elapsed Time 0:00:00.016
Correlations
Berat Jenis
Control Variables Usia Merokok Badan Kelamin
Kemampuan Berlari Usia Correlation 1.000 .025 .166 -.242
Significance . .849 .210 .065
(2-tailed)
df 0 57 57 57

3. Merokok Correlation .025 1.000 .264 .019
Significance .849 . .043 .887
(2-tailed)
df 57 0 57 57
Berat Badan Correlation .166 .264 1.000 -.480
Significance .210 .043 . .000
(2-tailed)
df 57 57 0 57
Jenis Kelamin Correlation -.242 .019 -.480 1.000
Significance .065 .887 .000 .
(2-tailed)
df 57 57 57 0
Partial Corr
Correlations
Kemampuan Jenis
Control Variables Berlari Kelamin
Merokok & Berat Badan & Kemampuan Correlation 1.000 -.541
Usia Berlari
Significance (2-tailed) . .000
df 0 55
Jenis Kelamin Correlation -.541 1.000
Significance (2-tailed) .000 .
df 55 0
Notes
Output Created 05-May-2011 13:20:05
Comments
Input Data C:UsersuserDesktoptugas spss
kelompok 6.sav
Active Dataset DataSet1
Filter <none>

4. Weight <none>
Split File <none>
N of Rows in Working Data 60
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
missing data for any variable listed.
Syntax PARTIAL CORR
/VARIABLES=Usia Kelamin BY Berlari
Merokok Berat
/SIGNIFICANCE=TWOTAIL
/MISSING=LISTWISE.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.016
Notes
Output Created 05-May-2011 13:21:17
Comments
Input Data C:UsersuserDesktoptugas spss
kelompok 6.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data 60
File
Missing Value Handling Definition of Missing User defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
missing data for any variable listed.
Syntax PARTIAL CORR
/VARIABLES=Berlari Kelamin BY
Merokok Berat Usia
/SIGNIFICANCE=TWOTAIL
/MISSING=LISTWISE.

5. Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Regression
Notes
Output Created 05-May-2011 13:26:47
Comments
Input Data C:UsersuserDesktoptugas spss
kelompok 6.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data 60
File
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Berlari
/METHOD=ENTER Kelamin Merokok
Berat Usia
/SCATTERPLOT=(*SDRESID
,*ZPRED) (*ZPRED ,Berlari)
/RESIDUALS NORM(ZRESID).
Resources Processor Time 0:00:00.920
Elapsed Time 0:00:01.185
Memory Required 2308 bytes

6. Additional Memory Required 800 bytes
for Residual Plots
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Usia, Merokok, Jenis Kelamin, Berat Badana . Enter
a. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .827a .684 .661 11.876
a. Predictors: (Constant), Usia, Merokok, Jenis Kelamin, Berat Badan
b. Dependent Variable: Kemampuan Berlari
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 16784.329 4 4196.082 29.754 .000a
Residual 7756.521 55 141.028
Total 24540.850 59
a. Predictors: (Constant), Usia, Merokok, Jenis Kelamin, Berat Badan
b. Dependent Variable: Kemampuan Berlari
Coefficientsa
Standardized
Model Unstandardized Coefficients Coefficients
B Std. Error Beta t Sig.
1 (Constant) 118.963 8.664 13.731 .000
Jenis Kelamin -14.894 3.122 -.368 -4.771 .000
Merokok 6.606 3.113 .163 2.122 .038
Berat Badan -.595 .081 -.649 -7.310 .000
Usia -.479 .159 -.262 -3.021 .004

7. a. Dependent Variable: Kemampuan Berlari
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 15.85 82.64 52.55 16.867 60
Std. Predicted Value -2.176 1.784 .000 1.000 60
Standard Error of Predicted 2.656 6.199 3.368 .647 60
Value
Adjusted Predicted Value 13.01 84.01 52.59 16.921 60
Residual -30.532 22.150 .000 11.466 60
Std. Residual -2.571 1.865 .000 .966 60
Stud. Residual -2.656 1.981 -.002 1.012 60
Deleted Residual -32.588 24.990 -.036 12.622 60
Stud. Deleted Residual -2.819 2.037 -.004 1.029 60
Mahal. Distance 1.968 15.095 3.933 2.187 60
Cook's Distance .000 .191 .021 .034 60
Centered Leverage Value .033 .256 .067 .037 60
a. Dependent Variable: Kemampuan Berlari
Charts