Nilai R
|
Model Summary
|
||||
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.766a
|
.587
|
.566
|
111.894
|
|
a.
Predictors: (Constant), MG Serum
|
|
|||
|
|
|
|||
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
338633.876
|
1
|
338633.876
|
27.047
|
.000a
|
|
Residual
|
237885.934
|
19
|
12520.312
|
|
|
|
|
Total
|
576519.810
|
20
|
|
|
|
|
|
a.
Predictors: (Constant), MG Serum
|
|
|
|
|||
|
b.
Dependent Variable: MG Tulang
|
|
|
|
|||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
37.550
|
76.410
|
|
.491
|
.629
|
|
MG
Serum
|
180.948
|
34.793
|
.766
|
5.201
|
.000
|
|
|
a.
Dependent Variable: MG Tulang
|
|
|
|
|||
Grafik
Soal Halaman 107
|
Variables Entered/Removedb
|
|||
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
1
|
berat_badana
|
.
|
Enter
|
|
a. All
requested variables entered.
|
|
||
|
b.
Dependent Variable: glukosa
|
|
||
|
Model Summary
|
||||
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.023a
|
.001
|
-.071
|
25.720
|
|
a.
Predictors: (Constant), berat_badan
|
|
|||
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
4.832
|
1
|
4.832
|
.007
|
.933a
|
|
Residual
|
9261.606
|
14
|
661.543
|
|
|
|
|
Total
|
9266.438
|
15
|
|
|
|
|
|
a.
Predictors: (Constant), berat_badan
|
|
|
|
|||
|
b.
Dependent Variable: glukosa
|
|
|
|
|
||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
90.674
|
53.207
|
|
1.704
|
.110
|
|
berat_badan
|
.058
|
.683
|
.023
|
.085
|
.933
|
|
|
a.
Dependent Variable: glukosa
|
|
|
|
|
||
Grafik
12. Lakukana prediksi TDS dengan variabel Independen IMT danumur
|
TDS
|
IMT
|
UMUR
|
|
135
|
28
|
45
|
|
148
|
37
|
52
|
|
162
|
37
|
60
|
|
180
|
46
|
64
|
|
152
|
41
|
64
|
|
134
|
30
|
50
|
|
135
|
32
|
57
|
|
137
|
33
|
53
|
|
132
|
30
|
48
|
|
161
|
38
|
63
|
|
122
|
32
|
41
|
|
146
|
29
|
54
|
|
160
|
36
|
48
|
|
166
|
39
|
59
|
|
138
|
36
|
56
|
|
145
|
34
|
49
|
|
142
|
34
|
56
|
|
132
|
32
|
50
|
|
120
|
28
|
43
|
|
170
|
41
|
63
|
|
130
|
31
|
49
|
|
129
|
28
|
47
|
|
144
|
23
|
44
|
|
138
|
40
|
51
|
|
140
|
35
|
54
|
|
142
|
30
|
46
|
|
144
|
37
|
58
|
|
149
|
33
|
54
|
|
126
|
29
|
43
|
|
152
|
39
|
62
|
Analisakorelasi TDS danUmurserta IMT danUmur
|
Correlations
|
|||
|
|
TDS
|
umur
|
|
|
TDS
|
Pearson Correlation
|
1
|
.730**
|
|
Sig. (2-tailed)
|
|
.000
|
|
|
N
|
30
|
30
|
|
|
umur
|
Pearson Correlation
|
.730**
|
1
|
|
Sig. (2-tailed)
|
.000
|
|
|
|
N
|
30
|
30
|
|
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
|||
Nilaikorelasi 0,000 < 0,05
Kesimpulan : TDS danUmurberkorelasippositifdansignifikan
|
Correlations
|
|||
|
|
IMT
|
umur
|
|
|
IMT
|
Pearson Correlation
|
1
|
.799**
|
|
Sig. (2-tailed)
|
|
.000
|
|
|
N
|
30
|
30
|
|
|
umur
|
Pearson Correlation
|
.799**
|
1
|
|
Sig. (2-tailed)
|
.000
|
|
|
|
N
|
30
|
30
|
|
|
**. Correlation is significant at the 0.01 level (2-tailed).
|
|||
Nilaikorelasi 0,000 < 0,05
Kesimpulan
:IMTdanUmurberkorelasippositifdansignifikan
2.Hitungnilai r, nilai ß1,
Uji t untukmembuktikanH0 : ß1=
0danH0 : r = 0
|
Mg Serum
|
Mg Tulang
|
|
3.60
|
672
|
|
2.70
|
567
|
|
2.45
|
612
|
|
1.45
|
400
|
|
0.90
|
236
|
|
1.40
|
270
|
|
2.80
|
340
|
|
2.80
|
621
|
|
2.55
|
638
|
|
1.80
|
524
|
|
1.40
|
294
|
|
2.90
|
330
|
|
1.80
|
240
|
|
1.50
|
190
|
|
2.85
|
610
|
|
2.60
|
570
|
|
2.25
|
552
|
|
1.35
|
277
|
|
1.60
|
268
|
|
1.65
|
270
|
|
1.35
|
215
|
|
Model
Summary
|
||||
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
|
1
|
.766a
|
.587
|
.566
|
.47393
|
|
a. Predictors: (Constant), MgTulang
|
||||
|
ANOVAa
|
||||||
|
Model
|
Sum
of Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
6.075
|
1
|
6.075
|
27.047
|
.000b
|
|
Residual
|
4.268
|
19
|
.225
|
|
|
|
|
Total
|
10.342
|
20
|
|
|
|
|
|
a. Dependent Variable: MgSerum
|
||||||
|
b. Predictors: (Constant), MgTulang
|
||||||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
|
B
|
Std.
Error
|
Beta
|
||||
|
1
|
(Constant)
|
.737
|
.278
|
|
2.647
|
.016
|
|
MgTulang
|
.003
|
.001
|
.766
|
5.201
|
.000
|
|
|
a. Dependent Variable: MgSerum
|
||||||
Nilai
r = 0,766
Nilai
ß1 = 0,003
Uji t untukmembuktikanH0
: ß1= 0
t
= ß1 = 0,003
SE 0,001
= 3
Dapatdisimpulkanbahwakadar Mg serum dan
Mg tulangberkorelasipositifdanbermakna
3.Hitungnilai r, nilai ß1,
Uji t untukmembuktikanH0 : ß1=
0 dan H0 : r = 0
|
beratbadan (kg)
|
glukosa (mg/100ml)
|
|
64
|
108
|
|
75.3
|
109
|
|
73
|
104
|
|
82.1
|
103
|
|
76.2
|
105
|
|
95.7
|
121
|
|
59.4
|
79
|
|
93.4
|
107
|
|
82.1
|
101
|
|
78.9
|
85
|
|
76.7
|
99
|
|
82.1
|
100
|
|
83.9
|
108
|
|
73
|
104
|
|
64.4
|
102
|
|
77.6
|
87
|
|
Model
Summary
|
||||
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
|
1
|
.487a
|
.237
|
.183
|
9.266
|
|
a. Predictors: (Constant), beratbadan
|
||||
|
ANOVAa
|
||||||
|
Model
|
Sum
of Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
373.644
|
1
|
373.644
|
4.352
|
.056b
|
|
Residual
|
1202.106
|
14
|
85.865
|
|
|
|
|
Total
|
1575.750
|
15
|
|
|
|
|
|
a. Dependent Variable: glukosa
|
||||||
|
b. Predictors: (Constant), beratbadan
|
||||||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
|
B
|
Std.
Error
|
Beta
|
||||
|
1
|
(Constant)
|
61.681
|
19.169
|
|
3.218
|
.006
|
|
beratbadan
|
.513
|
.246
|
.487
|
2.086
|
.056
|
|
|
a. Dependent Variable: glukosa
|
||||||
Nilai
r = 0,487
Nilai
ß1 = 0,513
Uji t untukmembuktikanH0
: ß1= 0
t
= ß1 = 0,513
SE 0,246
= 2,075
t-hitung = 2,087 > t-tabel n:14 = 1,76
Dapatdisimpulkanbahwaberatbadandankadarglukosaberkorelasipositifdanbermakna
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