NAMA :
HARMAIDAR
NIM : 201532269
UNREG
TUGAS 6
Latihan
1. Dengan data diatas, dilakukan analisa korelasi untuk TDS dan umur serta
IMT dan umur.
2. Dengan menggunakan data berikut (data fiktif):
·
Hitung nilai r;
·
Hitung nilai β1;
·
Lakukan uji t untuk membuktikan H0:β1=0;
·
Lakukan uji t untuk membuktikan 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
|
|
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
3. Data berat badan dan kadar glukosa darah orang dewasa sebagai berikut
|
Subjek
|
Berat badan (kg)
|
Glukosa mg/100 ml
|
|
|
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
|
|
·
Hitunglah nilai r;
·
Hitung nilai β1;
·
Lakukan uji t untuk membuktikan H0:β1 = 0;
·
Lakukan uji t untuk membuktikan H0 : r =0;
|
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
