Tugas anreg pertemuan 7 hal 106-107 sesi 01
ENI
SETIA RINI
201532079
Analisis Regresi Sesi 01
1.
TDS
|
IMT
|
UM
|
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
|
TDS-Umur
Model
Summary
|
||||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
||
1
|
,757a
|
,573
|
,557
|
9,567
|
||
a. Predictors: (Constant), Umur
|
||||||
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
3433,639
|
1
|
3433,639
|
37,516
|
,000b
|
Residual
|
2562,661
|
28
|
91,524
|
|||
Total
|
5996,300
|
29
|
||||
a. Dependent Variable: Tekanan Darah Sistolik
|
||||||
b. Predictors: (Constant), Umur
|
||||||
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
59,465
|
13,863
|
4,289
|
,000
|
|
Umur
|
1,596
|
,261
|
,757
|
6,125
|
,000
|
|
a. Dependent Variable: Tekanan Darah Sistolik
|
||||||
H0 : β1=0
t hitung > t tabel = 6,125 > 2,048,
maka H0 ditolak
H0 : r=0
t hitung > t tabel = 6,131 > 2.048,
maka H0 ditolak
jadi, dapat disimpulkan bahwa Umur dan
TDS berkolerasi positif dan bermakna
UMUR
- IMT
Model
Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R
Square
|
Std. Error
of the Estimate
|
1
|
,799a
|
,639
|
,626
|
3,06880
|
a. Predictors: (Constant), Umur
|
ANOVAa
|
||||||
Model
|
Sum of
Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
466,175
|
1
|
466,175
|
49,501
|
,000b
|
Residual
|
263,691
|
28
|
9,418
|
|||
Total
|
729,867
|
29
|
||||
a. Dependent Variable: Indeks Massa
Tubuh
|
b. Predictors: (Constant), Umur
|
Coefficientsa
|
||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
2,895
|
4,447
|
,651
|
,520
|
|
Umur
|
,588
|
,084
|
,799
|
7,036
|
,000
|
|
a. Dependent Variable: Indeks Massa
Tubuh
|
H0 : β1=0
t hitung > t tabel = 7,036 > 2,048,
maka H0 ditolak
H0 : r=0
t hitung > t tabel = 7,3126> 2.048,
maka H0 ditolak
jadi, dapat disimpulkan bahwa Umur dan
IMT berkolerasi positif dan bermakn
2.
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
|
2,85
|
610
|
2,60
|
570
|
2,25
|
552
|
1,35
|
277
|
1,60
|
268
|
1,65
|
270
|
1,35
|
215
|
2,80
|
621
|
2,55
|
638
|
1,80
|
524
|
1,40
|
294
|
2,90
|
330
|
1,80
|
240
|
1,50
|
190
|
Model
Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R
Square
|
Std. Error
of the Estimate
|
1
|
,766a
|
,587
|
,566
|
111,89420
|
a. Predictors: (Constant), Mg Serum
|
ANOVAa
|
||||||
Model
|
Sum of
Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
338633,876
|
1
|
338633,876
|
27,047
|
,000b
|
Residual
|
237885,934
|
19
|
12520,312
|
|||
Total
|
576519,810
|
20
|
||||
a. Dependent Variable: Mg Tulang
|
b. Predictors: (Constant), Mg Serum
|
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
|
·
Nilai r = 0,766
·
Nilai β1 = 180,948
·
Uji t untuk membuktikan
H0 : β1
= 0. 
o
t hitung > t tabel =
5,2017 > 2,093, maka H0 ditolak
·
Uji t untuk membuktikan H0 : r =
0. 
o
t hitung > t tabel = 5,193 >
2,093, maka H0 ditolak
maka, Mg Tulang dan Mg Serum berkolerasi
positif dan bermakna
3.
Subjek
|
Berat Badan
(kg)
|
Glukosa
(mg/100ml)
|
1
|
64,0
|
108
|
2
|
75,3
|
109
|
3
|
73,0
|
104
|
4
|
82,1
|
102
|
5
|
76,2
|
105
|
6
|
95,7
|
121
|
7
|
59,4
|
79
|
8
|
93,4
|
107
|
9
|
82,1
|
101
|
10
|
78,9
|
85
|
11
|
76,7
|
99
|
12
|
82,1
|
100
|
13
|
83,9
|
108
|
14
|
73,0
|
104
|
15
|
64,4
|
102
|
16
|
77,6
|
87
|
Model
Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R
Square
|
Std. Error
of the Estimate
|
1
|
,484a
|
,234
|
,180
|
9,2761
|
a. Predictors: (Constant), Berat
Badan
|
ANOVAa
|
||||||
Model
|
Sum of
Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
368,798
|
1
|
368,798
|
4,286
|
,057b
|
Residual
|
1204,639
|
14
|
86,046
|
|||
Total
|
1573,438
|
15
|
||||
a. Dependent Variable: Glukosa
|
||||||||
b. Predictors: (Constant), Berat
Badan
|
||||||||
Coefficientsa
|
||||||||
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||||
B
|
Std. Error
|
Beta
|
||||||
1
|
(Constant)
|
61,877
|
19,189
|
3,225
|
,006
|
|||
Berat Badan
|
,510
|
,246
|
,484
|
2,070
|
,057
|
|||
a. Dependent Variable: Glukosa
|
·
Nilai r = 0,484
·
Nilai β1 = 0,510
·
Uji t untuk membuktikan
H0 : β1
= 0. 
o
t hitung < t tabel =
2,07 < 2,145, maka H0 gagal ditolak
·
Uji t untuk membuktikan H0 : r =
0. 
o
t hitung < t tabel = 2,069 <
2,145, maka H0 gagal ditolak
jadi, dapat disimpulkan bahwa Berat Badan dan kadar Glukosa Darah tidak
berkolerasi dan tidak bermakna
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