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Tabel Spss

This document provides the frequencies analysis of various variables from a dataset with 207 cases. It includes statistics such as mean, median, mode, standard deviation, variance, range, minimum, maximum and sum for the variables of age, gender, education, marital status, obesity, smoking, physical activity, alcohol, caffeine and stress level. It also displays frequency tables for each of these variables.

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Shilfi rahmati
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0% found this document useful (0 votes)
44 views19 pages

Tabel Spss

This document provides the frequencies analysis of various variables from a dataset with 207 cases. It includes statistics such as mean, median, mode, standard deviation, variance, range, minimum, maximum and sum for the variables of age, gender, education, marital status, obesity, smoking, physical activity, alcohol, caffeine and stress level. It also displays frequency tables for each of these variables.

Uploaded by

Shilfi rahmati
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as RTF, PDF, TXT or read online on Scribd
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Warning # 849 in column 23.

    Text: in_ID
The LOCALE subcommand of the SET command has an invalid parameter.    It
could
not be mapped to a valid backend locale.
GET
    FILE='C:\Users\hp\Downloads\data MITEM FAKTOR RISK Hipertensi.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
FREQUENCIES VARIABLES=umur jenis_kelaimn pendidikan status_kawin obesitas
merokok aktifitas_fisik Alhohol kafein stress
    /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN
MODE SUM
    /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 17-JUL-2022 22:16:36


Comments
C:\Users\hp\Downloads\data
Data MITEM FAKTOR RISK
Hipertensi.sav
Active Dataset DataSet1
Input Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
207
File
User-defined missing values
Definition of Missing
are treated as missing.
Missing Value Handling
Statistics are based on all
Cases Used
cases with valid data.
FREQUENCIES
VARIABLES=umur
jenis_kelaimn pendidikan
status_kawin obesitas
merokok aktifitas_fisik
Alhohol kafein stress
Syntax
    /STATISTICS=STDDEV
VARIANCE RANGE
MINIMUM MAXIMUM
SEMEAN MEAN MEDIAN
MODE SUM
    /ORDER=ANALYSIS.
Processor Time 00:00:00,02
Resources
Elapsed Time 00:00:00,02

[DataSet1] C:\Users\hp\Downloads\data MITEM FAKTOR RISK Hipertensi.sav

Statistics

umur jenis_kelaimn pendidikan status_kawin obesitas merokok

Valid 207 207 207 207 207 206


N
Missing 0 0 0 0 0 1
Mean 5,7440 1,5217 2,1063 1,1401 1,3768 1,7621
Std. Error of Mean ,09333 ,03480 ,04930 ,03173 ,03376 ,02974
Median 6,0000 2,0000 2,0000 1,0000 1,0000 2,0000
Mode 5,00 2,00 2,00 1,00 1,00 2,00
Std. Deviation 1,34278 ,50074 ,70937 ,45654 ,48576 ,42681
Variance 1,803 ,251 ,503 ,208 ,236 ,182
Range 6,00 1,00 3,00 2,00 1,00 1,00
Minimum 2,00 1,00 1,00 1,00 1,00 1,00
Maximum 8,00 2,00 4,00 3,00 2,00 2,00
Sum 1189,00 315,00 436,00 236,00 285,00 363,00

Statistics

aktifitas_fisik Alhohol kafein stress

Valid 207 207 207 207


N
Missing 0 0 0 0
Mean 1,8164 1,8647 1,3961 2,5652
Std. Error of Mean ,02697 ,02383 ,03408 ,04616
Median 2,0000 2,0000 1,0000 3,0000
Mode 2,00 2,00 1,00 3,00
Std. Deviation ,38808 ,34284 ,49028 ,66416
Variance ,151 ,118 ,240 ,441
Range 1,00 1,00 1,00 2,00
Minimum 1,00 1,00 1,00 1,00
Maximum 2,00 2,00 2,00 3,00
Sum 376,00 386,00 289,00 531,00

Frequency Table

umur

Frequency Percent Valid Percent Cumulative


Percent

25-30 tahun 7 3,4 3,4 3,4

31-35 tahun 7 3,4 3,4 6,8

36-40 tahun 10 4,8 4,8 11,6

41-45 tahun 65 31,4 31,4 43,0


Valid
46-50 tahun 49 23,7 23,7 66,7

51-55 tahun 57 27,5 27,5 94,2

di atas 55 tahun 12 5,8 5,8 100,0

Total 207 100,0 100,0

jenis_kelaimn

Frequency Percent Valid Percent Cumulative


Percent

laki-laki 99 47,8 47,8 47,8

Valid perempuan 108 52,2 52,2 100,0

Total 207 100,0 100,0

pendidikan

Frequency Percent Valid Percent Cumulative


Percent

Valid SMA 37 17,9 17,9 17,9


Akademi/SI 116 56,0 56,0 73,9

S2 49 23,7 23,7 97,6

smp 5 2,4 2,4 100,0

Total 207 100,0 100,0

status_kawin

Frequency Percent Valid Percent Cumulative


Percent

Kawin 187 90,3 90,3 90,3

tidak 11 5,3 5,3 95,7


Valid
janda/duda 9 4,3 4,3 100,0

Total 207 100,0 100,0

obesitas

Frequency Percent Valid Percent Cumulative


Percent

ya 129 62,3 62,3 62,3

Valid tidak 78 37,7 37,7 100,0

Total 207 100,0 100,0

merokok

Frequency Percent Valid Percent Cumulative


Percent

ya 49 23,7 23,8 23,8

Valid tidak 157 75,8 76,2 100,0

Total 206 99,5 100,0


Missing System 1 ,5
Total 207 100,0

aktifitas_fisik

Frequency Percent Valid Percent Cumulative


Percent

Valid tidak 38 18,4 18,4 18,4

ya 169 81,6 81,6 100,0


Total 207 100,0 100,0

Alhohol

Frequency Percent Valid Percent Cumulative


Percent

ya 28 13,5 13,5 13,5

Valid tidak 179 86,5 86,5 100,0

Total 207 100,0 100,0

kafein

Frequency Percent Valid Percent Cumulative


Percent

ya 125 60,4 60,4 60,4

Valid tidak 82 39,6 39,6 100,0

Total 207 100,0 100,0

stress

Frequency Percent Valid Percent Cumulative


Percent

berat 20 9,7 9,7 9,7

sedang 50 24,2 24,2 33,8


Valid
ringan 137 66,2 66,2 100,0

Total 207 100,0 100,0

CROSSTABS
    /TABLES=Alhohol merokok obesitas aktifitas_fisik kafein stress BY
Hipertensi
    /FORMAT=AVALUE TABLES
    /STATISTICS=CHISQ
    /CELLS=COUNT EXPECTED ROW COLUMN
    /COUNT ROUND CELL.

Crosstabs
Notes

Output Created 17-JUL-2022 22:17:52


Comments
C:\Users\hp\Downloads\data
Data MITEM FAKTOR RISK
Hipertensi.sav
Active Dataset DataSet1
Input Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
207
File
User-defined missing values
Definition of Missing
are treated as missing.
Statistics for each table are
Missing Value Handling based on all the cases with
Cases Used valid data in the specified
range(s) for all variables in
each table.
CROSSTABS
    /TABLES=Alhohol merokok
obesitas aktifitas_fisik kafein
stress BY Hipertensi
    /FORMAT=AVALUE
Syntax
TABLES
    /STATISTICS=CHISQ
    /CELLS=COUNT
EXPECTED ROW COLUMN
    /COUNT ROUND CELL.
Processor Time 00:00:00,03

Elapsed Time 00:00:00,05


Resources
Dimensions Requested 2

Cells Available 174762

[DataSet1] C:\Users\hp\Downloads\data MITEM FAKTOR RISK Hipertensi.sav

Case Processing Summary

Cases
Valid Missing Total

N Percent N Percent N Percent

Alhohol * Hipertensi 207 100,0% 0 0,0% 207 100,0%


merokok * Hipertensi 206 99,5% 1 0,5% 207 100,0%
obesitas * Hipertensi 207 100,0% 0 0,0% 207 100,0%
aktifitas_fisik * Hipertensi 207 100,0% 0 0,0% 207 100,0%
kafein * Hipertensi 207 100,0% 0 0,0% 207 100,0%
stress * Hipertensi 207 100,0% 0 0,0% 207 100,0%

Alhohol * Hipertensi

Crosstab

Hipertensi Total

ya tidak

Count 17 11 28

Expected Count 11,4 16,6 28,0


ya
% within Alhohol 60,7% 39,3% 100,0%

% within Hipertensi 20,2% 8,9% 13,5%


Alhohol
Count 67 112 179

Expected Count 72,6 106,4 179,0


tidak
% within Alhohol 37,4% 62,6% 100,0%

% within Hipertensi 79,8% 91,1% 86,5%


Count 84 123 207

Expected Count 84,0 123,0 207,0


Total
% within Alhohol 40,6% 59,4% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) sided)

Pearson Chi-Square 5,444 a


1 ,020
Continuity Correction b
4,521 1 ,033
Likelihood Ratio 5,339 1 ,021
Fisher's Exact Test ,023 ,017
Linear-by-Linear Association 5,418 1 ,020
N of Valid Cases 207

a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 11,36.
b. Computed only for a 2x2 table

merokok * Hipertensi

Crosstab

Hipertensi Total

ya tidak

Count 25 24 49

Expected Count 20,0 29,0 49,0


ya
% within merokok 51,0% 49,0% 100,0%

% within Hipertensi 29,8% 19,7% 23,8%


merokok
Count 59 98 157

Expected Count 64,0 93,0 157,0


tidak
% within merokok 37,6% 62,4% 100,0%

% within Hipertensi 70,2% 80,3% 76,2%


Count 84 122 206

Expected Count 84,0 122,0 206,0


Total
% within merokok 40,8% 59,2% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) sided)

Pearson Chi-Square 2,794a 1 ,095


Continuity Correction b
2,265 1 ,132
Likelihood Ratio 2,760 1 ,097
Fisher's Exact Test ,099 ,067
Linear-by-Linear Association 2,780 1 ,095
N of Valid Cases 206

a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 19,98.
b. Computed only for a 2x2 table

obesitas * Hipertensi

Crosstab

Hipertensi Total

ya tidak

Count 69 60 129

Expected Count 52,3 76,7 129,0


ya
% within obesitas 53,5% 46,5% 100,0%

% within Hipertensi 82,1% 48,8% 62,3%


obesitas
Count 15 63 78

Expected Count 31,7 46,3 78,0


tidak
% within obesitas 19,2% 80,8% 100,0%

% within Hipertensi 17,9% 51,2% 37,7%


Count 84 123 207

Expected Count 84,0 123,0 207,0


Total
% within obesitas 40,6% 59,4% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) sided)

Pearson Chi-Square 23,658 a


1 ,000
Continuity Correction b
22,259 1 ,000
Likelihood Ratio 24,997 1 ,000
Fisher's Exact Test ,000 ,000
Linear-by-Linear Association 23,544 1 ,000
N of Valid Cases 207

a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 31,65.
b. Computed only for a 2x2 table
aktifitas_fisik * Hipertensi

Crosstab

Hipertensi Total

ya tidak

Count 16 22 38

Expected Count 15,4 22,6 38,0


tidak
% within aktifitas_fisik 42,1% 57,9% 100,0%

% within Hipertensi 19,0% 17,9% 18,4%


aktifitas_fisik
Count 68 101 169

Expected Count 68,6 100,4 169,0


ya
% within aktifitas_fisik 40,2% 59,8% 100,0%

% within Hipertensi 81,0% 82,1% 81,6%


Count 84 123 207

Expected Count 84,0 123,0 207,0


Total
% within aktifitas_fisik 40,6% 59,4% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) sided)

Pearson Chi-Square ,045a 1 ,832


Continuity Correction b
,001 1 ,977
Likelihood Ratio ,045 1 ,832
Fisher's Exact Test ,856 ,485
Linear-by-Linear Association ,045 1 ,833
N of Valid Cases 207

a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 15,42.
b. Computed only for a 2x2 table

kafein * Hipertensi
Crosstab

Hipertensi Total

ya tidak

Count 59 66 125

Expected Count 50,7 74,3 125,0


ya
% within kafein 47,2% 52,8% 100,0%

% within Hipertensi 70,2% 53,7% 60,4%


kafein
Count 25 57 82

Expected Count 33,3 48,7 82,0


tidak
% within kafein 30,5% 69,5% 100,0%

% within Hipertensi 29,8% 46,3% 39,6%


Count 84 123 207

Expected Count 84,0 123,0 207,0


Total
% within kafein 40,6% 59,4% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) sided)

Pearson Chi-Square 5,736a


1 ,017
Continuity Correction b
5,063 1 ,024
Likelihood Ratio 5,826 1 ,016
Fisher's Exact Test ,021 ,012
Linear-by-Linear Association 5,708 1 ,017
N of Valid Cases 207

a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 33,28.
b. Computed only for a 2x2 table

stress * Hipertensi

Crosstab

Hipertensi Total

ya tidak

stress berat Count 12 8 20


Expected Count 8,1 11,9 20,0

% within stress 60,0% 40,0% 100,0%

% within Hipertensi 14,3% 6,5% 9,7%

Count 22 28 50

Expected Count 20,3 29,7 50,0


sedang
% within stress 44,0% 56,0% 100,0%

% within Hipertensi 26,2% 22,8% 24,2%

Count 50 87 137

Expected Count 55,6 81,4 137,0


ringan
% within stress 36,5% 63,5% 100,0%

% within Hipertensi 59,5% 70,7% 66,2%


Count 84 123 207

Expected Count 84,0 123,0 207,0


Total
% within stress 40,6% 59,4% 100,0%

% within Hipertensi 100,0% 100,0% 100,0%

Chi-Square Tests

Value df Asymp. Sig. (2-


sided)

Pearson Chi-Square 4,318a 2 ,115


Likelihood Ratio 4,253 2 ,119
Linear-by-Linear Association 4,080 1 ,043
N of Valid Cases 207

a. 0 cells (0,0%) have expected count less than 5. The minimum


expected count is 8,12.

LOGISTIC REGRESSION VARIABLES Hipertensi


    /METHOD=BSTEP(LR) merokok obesitas Alhohol stress kafein
    /CONTRAST (merokok)=Indicator
    /CONTRAST (obesitas)=Indicator
    /CONTRAST (Alhohol)=Indicator
    /CONTRAST (stress)=Indicator
    /CONTRAST (kafein)=Indicator
    /SAVE=PRED
    /PRINT=GOODFIT CI(95)
    /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).

Logistic Regression
Notes

Output Created 17-JUL-2022 22:19:04


Comments
C:\Users\hp\Downloads\data
Data MITEM FAKTOR RISK
Hipertensi.sav
Active Dataset DataSet1
Input Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
207
File
User-defined missing values
Missing Value Handling Definition of Missing
are treated as missing
LOGISTIC REGRESSION
VARIABLES Hipertensi
    /METHOD=BSTEP(LR)
merokok obesitas Alhohol
stress kafein
    /CONTRAST
(merokok)=Indicator
    /CONTRAST
(obesitas)=Indicator
    /CONTRAST
Syntax
(Alhohol)=Indicator
    /CONTRAST
(stress)=Indicator
    /CONTRAST
(kafein)=Indicator
    /SAVE=PRED
    /PRINT=GOODFIT CI(95)
    /CRITERIA=PIN(0.05)
POUT(0.10) ITERATE(20)
CUT(0.5).
Processor Time 00:00:00,08
Resources
Elapsed Time 00:00:00,08
Variables Created or
PRE_2 Predicted probability
Modified
[DataSet1] C:\Users\hp\Downloads\data MITEM FAKTOR RISK Hipertensi.sav

Case Processing Summary

Unweighted Cases a
N Percent

Included in Analysis 206 99,5

Selected Cases Missing Cases 1 ,5

Total 207 100,0


Unselected Cases 0 ,0
Total 207 100,0

a. If weight is in effect, see classification table for the total number of


cases.

Dependent Variable Encoding

Original Value Internal Value

ya 0
tidak 1

Categorical Variables Codings

Frequency Parameter coding

(1) (2)

berat 20 1,000 ,000

stress sedang 50 ,000 1,000

ringan 136 ,000 ,000


ya 125 1,000
kafein
tidak 81 ,000
ya 128 1,000
obesitas
tidak 78 ,000
ya 28 1,000
Alhohol
tidak 178 ,000
ya 49 1,000
merokok
tidak 157 ,000

Block 0: Beginning Block


Classification Tablea,b

Observed Predicted

Hipertensi Percentage

ya tidak Correct

ya 0 84 ,0
Hipertensi
Step 0 tidak 0 122 100,0

Overall Percentage 59,2

a. Constant is included in the model.


b. The cut value is ,500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 0 Constant ,373 ,142 6,929 1 ,008 1,452

Variables not in the Equation

Score df Sig.

merokok(1) 2,794 1 ,095

obesitas(1) 24,131 1 ,000

Alhohol(1) 5,334 1 ,021

Variables stress 4,182 2 ,124


Step 0
stress(1) 3,389 1 ,066

stress(2) ,284 1 ,594

kafein(1) 5,431 1 ,020

Overall Statistics 34,852 6 ,000

Block 1: Method = Backward Stepwise (Likelihood Ratio)

Omnibus Tests of Model Coefficients


Chi-square df Sig.

Step 37,775 6 ,000

Step 1 Block 37,775 6 ,000

Model 37,775 6 ,000


Step -,068 1 ,794
Step 2 a
Block 37,707 5 ,000
Model 37,707 5 ,000
Step -,679 2 ,712

Step 3a Block 37,029 3 ,000

Model 37,029 4 ,000

a. A negative Chi-squares value indicates that the Chi-


squares value has decreased from the previous step.

Model Summary

Step -2 Log likelihood Cox & Snell R Nagelkerke R


Square Square

1 240,751 a
,168 ,226
2 240,819 a
,167 ,226
3 241,498 a
,165 ,222

a. Estimation terminated at iteration number 4 because


parameter estimates changed by less than ,001.

Hosmer and Lemeshow Test

Step Chi-square df Sig.

1 2,748 7 ,907
2 4,032 6 ,672
3 2,332 4 ,675

Contingency Table for Hosmer and Lemeshow Test

Hipertensi = ya Hipertensi = tidak Total

Observed Expected Observed Expected

Step 1 1 15 15,210 5 4,790 20

2 9 11,005 9 6,995 18

3 6 4,611 2 3,389 8

4 18 17,597 14 14,403 32
5 10 8,795 10 11,205 20

6 14 14,402 22 21,598 36

7 6 5,415 17 17,585 23

8 4 3,943 18 18,057 22

9 2 3,022 25 23,978 27
1 18 18,422 7 6,578 25
2 6 7,799 7 5,201 13
3 24 22,209 16 17,791 40
4 10 8,760 10 11,240 20
Step 2
5 14 14,815 23 22,185 37
6 6 3,861 10 12,139 16
7 4 5,114 24 22,886 28
8 2 3,019 25 23,981 27
1 11 12,576 5 3,424 16

2 37 35,836 25 26,164 62

3 21 20,588 29 29,412 50
Step 3
4 6 4,424 6 7,576 12

5 7 7,602 32 31,398 39

6 2 2,973 25 24,027 27

Classification Tablea

Observed Predicted

Hipertensi Percentage

ya tidak Correct

ya 48 36 57,1
Hipertensi
Step 1 tidak 30 92 75,4

Overall Percentage 68,0


ya 48 36 57,1
Hipertensi
Step 2 tidak 30 92 75,4
Overall Percentage 68,0
ya 48 36 57,1
Hipertensi
Step 3 tidak 30 92 75,4

Overall Percentage 68,0

a. The cut value is ,500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)


merokok(1) -,107 ,412 ,068 1 ,794 ,898

obesitas(1) -1,722 ,356 23,347 1 ,000 ,179

Alhohol(1) -,901 ,505 3,190 1 ,074 ,406

stress ,539 2 ,764


Step 1a
stress(1) -,394 ,571 ,477 1 ,490 ,674

stress(2) -,156 ,377 ,172 1 ,678 ,855

kafein(1) -,606 ,341 3,146 1 ,076 ,546

Constant 2,127 ,394 29,103 1 ,000 8,391


obesitas(1) -1,720 ,356 23,327 1 ,000 ,179
Alhohol(1) -,932 ,491 3,597 1 ,058 ,394
stress ,675 2 ,714
Step 2 a
stress(1) -,425 ,557 ,583 1 ,445 ,654
stress(2) -,173 ,372 ,218 1 ,641 ,841
kafein(1) -,626 ,333 3,534 1 ,060 ,535
Constant 2,124 ,394 29,075 1 ,000 8,366
obesitas(1) -1,733 ,355 23,788 1 ,000 ,177

Alhohol(1) -1,035 ,476 4,724 1 ,030 ,355


Step 3a
kafein(1) -,671 ,328 4,197 1 ,041 ,511

Constant 2,090 ,383 29,756 1 ,000 8,081

Variables in the Equation

95% C.I.for EXP(B)

Lower Upper

merokok(1) ,401 2,013

obesitas(1) ,089 ,359

Alhohol(1) ,151 1,092

stress
Step 1a
stress(1) ,220 2,064

stress(2) ,408 1,791

kafein(1) ,279 1,066

Constant
obesitas(1) ,089 ,360
Alhohol(1) ,150 1,032
stress
Step 2 a
stress(1) ,219 1,948
stress(2) ,406 1,742
kafein(1) ,279 1,027
Constant
Step 3 a
obesitas(1) ,088 ,355

Alhohol(1) ,140 ,903


kafein(1) ,269 ,971

Constant

a. Variable(s) entered on step 1: merokok, obesitas, Alhohol, stress, kafein.

Model if Term Removed

Variable Model Log Change in -2 df Sig. of the


Likelihood Log Likelihood Change

merokok -120,410 ,068 1 ,794

obesitas -134,107 27,462 1 ,000

Step 1 Alhohol -122,015 3,279 1 ,070

stress -120,646 ,541 2 ,763

kafein -121,977 3,202 1 ,074


obesitas -134,124 27,429 1 ,000
Alhohol -122,268 3,718 1 ,054
Step 2
stress -120,749 ,679 2 ,712
kafein -122,213 3,606 1 ,058
obesitas -134,773 28,048 1 ,000

Step 3 Alhohol -123,210 4,922 1 ,027

kafein -122,896 4,295 1 ,038

Variables not in the Equation

Score df Sig.
Variables merokok(1) ,068 1 ,794
Step 2a
Overall Statistics ,068 1 ,794
merokok(1) ,207 1 ,649

stress ,678 2 ,713


Variables
Step 3b stress(1) ,460 1 ,498

stress(2) ,090 1 ,764

Overall Statistics ,744 3 ,863

a. Variable(s) removed on step 2: merokok.


b. Variable(s) removed on step 3: stress.

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