Latihan Halaman 86
Pelajari data dibawah ini, tentukan
dependen dan independent variabel serta
Hitung
Sum 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
|
|
3.6
|
672
|
|
2.7
|
567
|
|
2.45
|
612
|
|
1.45
|
400
|
|
0.9
|
236
|
|
1.4
|
270
|
|
2.8
|
340
|
|
2.85
|
610
|
|
2.6
|
570
|
|
2.25
|
552
|
|
1.35
|
277
|
|
1.6
|
268
|
|
1.65
|
270
|
|
1.35
|
215
|
|
2.8
|
621
|
|
2.55
|
638
|
|
1.8
|
524
|
|
1.4
|
294
|
|
2.9
|
330
|
|
1.8
|
240
|
|
1.5
|
190
|
Jawab
:
Hasil analisa data dengan regresi
menggunakan software SPSS seperti dibawah ini:
Variabel
Dependen : Mg Tulang
Variabel
Independent : Mg Serum
|
Variables
Entered/Removedb
|
|||
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
1
|
MgSeruma
|
.
|
Enter
|
|
a. All requested variables entered.
|
|||
|
b. Dependent Variable: MgTulang
|
|||
|
Model Summary
|
||||
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the
Estimate
|
|
1
|
.766a
|
.587
|
.566
|
111.89420
|
|
a. Predictors: (Constant), MgSerum
|
||||
|
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), MgSerum
|
||||||
|
b. Dependent Variable: MgTulang
|
||||||
Mean Sum of Square Regression = SSRegr /
df = 338633,876/1 = 338633,876
Mean Sum of Square Residual = SSResd/df
= 237885,934/19 = 12520,312
F = MS-Regr / MS-Resd =
338633,876/12520,312 = 27,0467
Nilai Fh = 27,0467 > Ft = 4,38, nilai
p<0,05 sangat bermakna, kolom sig = 0,000 artinya kita menolak hipotesa nol,
dan kita nyatakan bahwa Mg Serum
mempengaruhi Mg Tulang.
Latihan
Halaman 87
Pelajari
data dibawah ini, tentukan dependen dan independent variabel serta
Hitung
Sum 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
Data
berat badan dan kadar glukosa darah orang dewasa sebagai berikut (data fiktif)
|
Subjek
|
Berat Badan
(kg)
|
Glukosa
mg/100 ml
|
|
64
|
108
|
64
|
|
75.3
|
109
|
75.3
|
|
73
|
104
|
73
|
|
82.1
|
102
|
82.1
|
|
76.2
|
105
|
76.2
|
|
95.7
|
121
|
95.7
|
|
59.4
|
79
|
59.4
|
|
93.4
|
107
|
93.4
|
|
82.1
|
101
|
82.1
|
|
78.9
|
85
|
78.9
|
|
76.7
|
99
|
76.7
|
|
82.1
|
100
|
82.1
|
|
83.9
|
108
|
83.9
|
|
73
|
104
|
73
|
|
64.4
|
102
|
64.4
|
|
77.6
|
87
|
77.6
|
Jawab
:
Hasil analisa
data dengan regresi menggunakan software SPSS seperti dibawah ini:
Variabel Dependen :
Glukosa mg/100 ml
Variabel
Independent : Berat Badan (BB)
|
Variables
Entered/Removedb
|
|||
|
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|
1
|
BBa
|
.
|
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
|
.484a
|
.234
|
.180
|
9.27608
|
|
a. Predictors: (Constant), BB
|
||||
|
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. Predictors: (Constant), BB
|
||||||
|
b. Dependent Variable: Glukosa
|
||||||
Mean Sum of Square Regression = SSRegr /
df = 368,798/1 = 368,798
Mean Sum of Square Residual = SSResd/df
= 1204,639/14 = 86,045
F = MS-Regr / MS-Resd = 368,798/86,045 =
4,286
Nilai Fh = 4,286 < Ft = 4,60, nilai
p>0,05 tidak bermakna, kolom sig = 0,057 artinya kita menerima hipotesa nol,
dan kita nyatakan bahwa Berat badan
tidak mempengaruhi kadar Glukosa darah.
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