Pertemuan 6 halaman 86-87
2. Pelajari data dibawah ini, tentukan dependen dan independent variabel serta
· Hitung Ssu, of Square for Regression (X)
· Hitung Sum of Square for Residual
· Hitung Means Sum of Square for Regression(X)
· Hitung Means Sum of Square for Residual
· Hitung nilai F dan buat kesimpulan
Mg Serum
|
Mg Tulang
|
3,60
|
672
|
2,7
|
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
|
Hasil Analisa data dengan regresi seperti di bawah ini
VARIABLES ENTERED/REMOVED (b)
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Mg Serum (a)
|
.
|
Enter
|
a. All requested variables entered
b. Dependent Variable: Mg Tulang
MODEL SUMMARY
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.766 (a)
|
.587
|
.566
|
111.894
|
a. Predictors: (Constant), Mg Serum
ANOVA (b)
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
Regression
|
338633.876
|
1
|
338633.876
|
27.047
|
.000 (a)
| |
Residual
|
237885.934
|
19
|
12520.312
| |||
Total
|
576519.810
|
20
| ||||
a. Predictors: (Constant), Mg Serum
b. Dependent Variable: Mg Tulang
COEFFICIENTS (a)
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
37.550
|
76.410
|
.491
|
.629
| |
MgS
|
180.948
|
34.793
|
.766
|
5.201
|
.000
|
a. Dependent Variable: MgT
Sum of Square Total
Sum of Square total: SSY= 576519,810
Sum of Square Residual: SSE= 237885,934
Sum of Square Regression: SSY-SSE= 576519,810-237885,934= 338633,876
Mean Sum of Square Regression: SSReg/df= 338633,876/1= 338633,876
Mean Sum of Square Resudial: SSResd/df= 237885,934/19=12520,312
F=MS-Reg/MS-Resd= 338633,876/12520,312= 27,046
Nilai Fhitung = 27.046 > Ftabel = 4.38, nilai p < 0.05 sangat bermakna, dengan nilai Sig. = 0.000.
Kesimpulan : Artinya hipotesa nol ditolak, maka dinyatakan bahwa :Mg Serum mempengaruhi Mg Tulang.
3. Pelajari data di bawah ini, tentukan dependen dan independen variabel serta
a. Hitung Sum of Square for Regression
b. Hitung Sum of Square for Residual
c. Hitung Means Sum of Square for Regression
d. Hitung Means Sum of Square for Residual
e. Hitung nilai F buat kesimpulan
Data berat badan dan kadar glukosa darah orang dewasa sebagai berikut:
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
|
104
|
15
|
64,4
|
102
|
16
|
77,6
|
87
|
Berat badan sebagai variabel Independen dan Glukosa darah sebagai variabel Dependen
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.484a
|
.234
|
.180
|
9.276
|
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
368.798
|
1
|
368.798
|
4.286
|
.057a
|
Residual
|
1204.639
|
14
|
86.046
| |||
Total
|
1573.437
|
15
| ||||
a.
Sum of Square for Regression
SSY-SSE= 1573.437-1204.639=368.798
b. Sum of Square for Residual
SSE= 1204.639
c. Means Sum of Square for Regression
SSReg/df= 368.798
d. Means Sum of Square for Residual
SSRes/df=86.046
e. Nilai F
Lihat Tabel F dengan nomerator =1 dan denomerator=14, nilainya adalah 4,60
Nilai Fh=4.286<Ft= 4,60, nilai p 0 .057>0.05 Maka Ho diterima berat badan tidak mempengaruhi glukosa darah.