No 1 Halaman 106
1. Lakukan analisa korelasi untuk TDS dan umur serta IMT dan umur
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
|
Analisa korelasi TDS dan Umur serta IMT dan Umur
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).
| |||
Nila ikorelasi 0,000 < 0,05
Kesimpulan : TDS dan Umur berkorelasi positi fdan signifikan
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).
| |||
Nilai korelasi 0,000 < 0,05
Kesimpulan :IMTdan Umur berkorelasi ppositif dan signifikan
No 2 Halaman 106
Hitung nilai r, nilai ß1, Uji t untuk membuktikan H0 : ß1= 0 dan H0 : 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
Dapat disimpulkan bahwa kadar Mg serum dan Mg tulang berkorelasi positif dan bermakna
No 3 Halaman 107
Hitung nilai r, nilai ß1, Uji t untuk membuktikan H0 : ß1= 0 dan H0 : r = 0
berat badan (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
Dapat disimpulkan bahwa berat badan dan kadar glukosa berkorelasi positif dan bermakna
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