akan dianalisis data yang bertujuan untuk mencari faktor yang berpengaruh terhadap tekanan sistolik darah (SBP) dengan variable predaktor : - Usia (AGE)
- Berat Badan
- Riwayat perokok
LANGKAH LANGKAH :
Masukan data pada SPSS
Klik data view
pilih Analize
pilih regresion
muncul jendela, pindahkan SBP ke dependen, selanjutnya age, perokok, dan beraat badan ke independent
Variables Entered/Removedb |
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BB, perokok, AGEa
|
.
|
Enter
|
a. All requested variables entered.
|
|||
b. Dependent Variable: SBP
|
|||
Regression
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
1
|
.860a
|
.740
|
.708
|
12.320
|
a. Predictors: (Constant), BB, perokok, AGE
|
||||
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
10781.042
|
3
|
3593.681
|
23.675
|
.000a
|
Residual
|
3794.820
|
25
|
151.793
|
|||
Total
|
14575.862
|
28
|
||||
a. Predictors: (Constant), BB, perokok, AGE
|
||||||
b. Dependent Variable: SBP
|
||||||
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
15.950
|
28.859
|
.553
|
.585
|
|
AGE
|
.552
|
.238
|
.386
|
2.319
|
.029
|
|
perokok
|
7.744
|
6.571
|
.172
|
1.178
|
.250
|
|
BB
|
1.439
|
.496
|
.412
|
2.902
|
.008
|
|
a. Dependent Variable: SBP
|
||||||
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT SBP
/METHOD=ENTER AGE perokok BB.
Regression
Variables
Entered/Removedb
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BB, perokok, AGEa
|
.
|
Enter
|
a. All requested variables entered.
|
|||
b. Dependent Variable: SBP
|
|||
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
1
|
.867a
|
.751
|
.722
|
12.114
|
a. Predictors: (Constant), BB, perokok, AGE
|
||||
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
11514.369
|
3
|
3838.123
|
26.153
|
.000a
|
Residual
|
3815.631
|
26
|
146.755
|
|||
Total
|
15330.000
|
29
|
||||
a. Predictors: (Constant), BB, perokok, AGE
|
||||||
b. Dependent Variable: SBP
|
||||||
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
18.273
|
27.697
|
.660
|
.515
|
|
AGE
|
.548
|
.234
|
.387
|
2.344
|
.027
|
|
perokok
|
7.745
|
6.461
|
.171
|
1.199
|
.241
|
|
BB
|
1.405
|
.479
|
.412
|
2.932
|
.007
|
|
a. Dependent Variable: SBP
|
||||||
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT SBP
/METHOD=STEPWISE AGE perokok BB.
Regression
Notes
|
||
Output Created
|
04-Jan-2016
08:51:45
|
|
Comments
|
||
Input
|
Active Dataset
|
DataSet0
|
Filter
|
<none>
|
|
Weight
|
<none>
|
|
Split File
|
<none>
|
|
N of Rows in Working Data File
|
33
|
|
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 SBP
/METHOD=STEPWISE AGE perokok BB.
|
|
Resources
|
Processor Time
|
00:00:00.031
|
Elapsed Time
|
00:00:00.016
|
|
Memory Required
|
2116 bytes
|
|
Additional Memory Required for Residual
Plots
|
0 bytes
|
|
[DataSet0]
Variables
Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
AGE
|
.
|
Stepwise (Criteria:
Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >=
.100).
|
2
|
BB
|
.
|
Stepwise (Criteria:
Probability-of-F-to-enter <= .050, Probability-of-F-to-remove >=
.100).
|
a. Dependent Variable: SBP
|
|||
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
1
|
.802a
|
.643
|
.631
|
13.973
|
2
|
.859b
|
.737
|
.718
|
12.212
|
a. Predictors: (Constant), AGE
|
||||
b. Predictors: (Constant), AGE, BB
|
||||
ANOVAc
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
9863.229
|
1
|
9863.229
|
50.518
|
.000a
|
Residual
|
5466.771
|
28
|
195.242
|
|||
Total
|
15330.000
|
29
|
||||
2
|
Regression
|
11303.498
|
2
|
5651.749
|
37.898
|
.000b
|
Residual
|
4026.502
|
27
|
149.130
|
|||
Total
|
15330.000
|
29
|
||||
a. Predictors: (Constant), AGE
|
||||||
b. Predictors: (Constant), AGE, BB
|
||||||
c. Dependent Variable: SBP
|
||||||
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
90.170
|
7.858
|
11.474
|
.000
|
|
AGE
|
1.138
|
.160
|
.802
|
7.108
|
.000
|
|
2
|
(Constant)
|
9.360
|
26.895
|
.348
|
.731
|
|
AGE
|
.699
|
.199
|
.493
|
3.517
|
.002
|
|
BB
|
1.486
|
.478
|
.435
|
3.108
|
.004
|
|
a. Dependent Variable: SBP
|
||||||
Excluded Variablesc
|
||||||
Model
|
Beta In
|
t
|
Sig.
|
Partial Correlation
|
Collinearity
Statistics
|
|
Tolerance
|
||||||
1
|
perokok
|
.230a
|
1.439
|
.162
|
.267
|
.480
|
BB
|
.435a
|
3.108
|
.004
|
.513
|
.496
|
|
2
|
perokok
|
.171b
|
1.199
|
.241
|
.229
|
.471
|
a. Predictors in the Model: (Constant),
AGE
|
||||||
b. Predictors in the Model: (Constant),
AGE, BB
|
||||||
c. Dependent Variable: SBP
|
||||||
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT SBP
/METHOD=ENTER AGE perokok BB.
Regression
[DataSet0]
Variables
Entered/Removedb
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BB, perokok, AGEa
|
.
|
Enter
|
a. All requested variables entered.
|
|||
b. Dependent Variable: SBP
|
|||
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
1
|
.867a
|
.751
|
.722
|
12.114
|
a. Predictors: (Constant), BB, perokok, AGE
|
||||
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
11514.369
|
3
|
3838.123
|
26.153
|
.000a
|
Residual
|
3815.631
|
26
|
146.755
|
|||
Total
|
15330.000
|
29
|
||||
a. Predictors: (Constant), BB, perokok, AGE
|
||||||
b. Dependent Variable: SBP
|
||||||
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
18.273
|
27.697
|
.660
|
.515
|
|
AGE
|
.548
|
.234
|
.387
|
2.344
|
.027
|
|
perokok
|
7.745
|
6.461
|
.171
|
1.199
|
.241
|
|
BB
|
1.405
|
.479
|
.412
|
2.932
|
.007
|
|
a. Dependent Variable: SBP
|
||||||
kesimpulan : Dari data diatas dapat disimpulkan bahwa dari metode Enter dan metode stepwise nilai yang paling kecil adalah AGE
Tidak ada komentar:
Posting Komentar