HAL 154
2. Lakukan prediksi BB dengan variabel independen TB, BTL, dan AK
2. Lakukan prediksi BB dengan variabel independen TB, BTL, dan AK
No
|
BB
|
TB
|
BTL
|
AK
|
1
|
79.2
|
149
|
54.1
|
2670
|
2
|
64
|
152
|
44.3
|
820
|
3
|
67
|
155.7
|
47.8
|
1210
|
4
|
78.4
|
159
|
53.9
|
2678
|
5
|
66
|
163.3
|
47.5
|
1205
|
6
|
63
|
166
|
43
|
815
|
7
|
65.9
|
169
|
47.1
|
1200
|
8
|
63.1
|
172
|
44
|
1180
|
9
|
73.2
|
174.5
|
44.1
|
1850
|
10
|
66.5
|
176.1
|
48.3
|
1260
|
11
|
61.9
|
176.5
|
43.5
|
1170
|
12
|
72.5
|
179
|
43.3
|
1852
|
13
|
101.1
|
182
|
66.4
|
1790
|
14
|
66.2
|
170.4
|
47.5
|
1250
|
15
|
99.9
|
184.9
|
66
|
1889
|
16
|
63
|
169
|
44
|
915
|
BB : Berat Badan
TB : Tinggi Badan
BTL : Berat Badan Tanpa Lemak
AK : Asupan Kalori
MODEL 1.
BB= β₀ + β₁TB
Coefficient
|
Standar Error
|
Partial F
|
β₀ = -2.492
|
2.327
| |
β₁ = .441
|
.289
|
Variables Entered/Removedb
| |||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
TBa
|
.
|
Enter
|
a. All requested variables entered.
b. Dependent Variable: BB
| |||
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,378a
|
,143
|
,081
|
11,84046
|
a. Predictors: (Constant), Tb
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
326,204
|
1
|
326,204
|
2,327
|
,149a
|
Residual
|
1962,751
|
14
|
140,196
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), TB
b. Dependent Variable: BB
| ||||||
Estimasi model 1 : BB = -2.492 + 0.441 TB
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
-2,492
|
48,880
|
-,051
|
,960
| |
TB
|
,441
|
,289
|
,378
|
1,525
|
,149
| |
a. Dependent Variable: BB
| ||||||
MODEL 2.
BB = β₀ + β₂BTL+E
Coefficient
|
Standar Error
|
Partial F
|
β₀ = -4.303
|
117.411
| |
β₁ = 1.554
|
.143
|
Variables Entered/Removedb
| |||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Berat Badan Tanpa Lemak
|
.
|
Enter
|
a. All requested variables entered.
b. Dependent Variable: BB
| |||
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,945a
|
,893
|
,886
|
4,17352
|
a. Predictors: (Constant), BTL
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
2045,099
|
1
|
2045,099
|
117,411
|
,000a
|
Residual
|
243,855
|
14
|
17,418
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), BTL
b. Dependent Variable: BB
| ||||||
Estimasi model 2 : BB = -4.303 + 1.554 BTL
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
-4,303
|
7,112
|
-,605
|
,555
| |
Berat Badan Tanpa Lemak
|
1,554
|
,143
|
,945
|
10,836
|
,000
| |
a. Dependent Variable: BB
| ||||||
MODEL 3.
BB= β₀ + β₃AK+E
Coefficient
|
Standar Error
|
Partial F
|
β₀ = 52.517
|
8.620
| |
β₁ = .013
|
.004
|
a. All requested variables entered.
b. Dependent Variable: BB
|
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,617a
|
,381
|
,337
|
10,05930
|
a. Predictors: (Constant), AK
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
872,301
|
1
|
872,301
|
8,620
|
,011a
|
Residual
|
1416,653
|
14
|
101,190
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), AK
b. Dependent Variable: BB
| ||||||
Estimasi model 3 : BB = 52.517 + 0.013 AK
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
52,517
|
7,074
|
7,423
|
,000
| |
Asupan Kalori
|
,013
|
,004
|
,617
|
2,936
|
,011
| |
a. Dependent Variable: BB
| ||||||
MODEL 4.
BB= β₀ + β₁ TB + β₂BTL+E
Coefficient
|
Standar Error
|
Partial F
|
β₀ = -27.527
|
165.499
| |
β₁ = .155
|
.101
| |
β₂ = 1.496
|
.142
|
Variables Entered/Removedb
| |||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BTL, TB
|
.
|
Enter
|
a. All requested variables entered.
b. Dependent Variable: BB
| |||
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,954a
|
,910
|
,896
|
3,98695
|
a. Predictors: (Constant), BTL, TB
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
2082,309
|
2
|
1041,154
|
65,499
|
,000a
|
Residual
|
206,645
|
13
|
15,896
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), BTL, TB
b. Dependent Variable: BB
| ||||||
Estimasi model 4 : BB = -27.527 + 0.155 TB + 1.496 BTL
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
-27,527
|
16,631
|
-1,655
|
,122
| |
TB
|
,155
|
,101
|
,132
|
1,530
|
,150
| |
BTL
|
1,496
|
,142
|
,910
|
10,511
|
,000
| |
a. Dependent Variable: B
| ||||||
MODEL 5.
BB = β₀ + β₁TB+β₃AK+E
Coefficient
|
Standar Error
|
Partial F
|
β₀ = -31.333
|
8.185
| |
β₁ = .492
|
.216
| |
β₃ = .014
|
.004
|
Variables Entered/Removedb
| |||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
AK, TBa
|
.
|
Enter
|
a. All requested variables entered.
b. Dependent Variable: BB
| |||
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,747a
|
,557
|
,489
|
8,82798
|
a. Predictors: (Constant), AK, TB
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
1275,821
|
2
|
637,911
|
8,185
|
,005a
|
Residual
|
1013,133
|
13
|
77,933
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), AK, TB
b. Dependent Variable: BB
| ||||||
Estimasi model : BB = -31.333+.492+.014 AK
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
-31,333
|
37,369
|
-,838
|
,417
| |
TB
|
,492
|
,216
|
,421
|
2,275
|
,040
| |
AK
|
,014
|
,004
|
,646
|
3,491
|
,004
| |
a. Dependent Variable: BB
| ||||||
2 TB + 0.014
MODEL 6.
BB= β₀ + β₁TB+β₂ BTL+β₃AK+E
Coefficient
|
Standar Error
|
Partial F
|
β₀ = -33.412
|
61.141
| |
β₁ = .210
|
.090
| |
β₂ = 1.291
|
.150
| |
β₃ = .004
|
.002
|
Variables Entered/Removedb
| |||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
AK, TB, BTLa
|
.
|
Enter
|
a. All requested variables entered.
b. Dependent Variable: BB
| |||
Model Summary
| ||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
,969a
|
,938
|
,923
|
3,43220
|
a. Predictors: (Constant), AK, TB, BTL
| ||||
ANOVAb
| ||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
| |
1
|
Regression
|
2148,400
|
3
|
716,133
|
61,141
|
,000a
|
Residual
|
140,554
|
12
|
11,713
| |||
Total
|
2288,954
|
15
| ||||
a. Predictors: (Constant), AK, TB, BTL
b. Dependent Variable: BB
| ||||||
Estimasi model 6: BB = -33.412+.210+1.291 + .004
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
-33,412
|
14,489
|
-2,306
|
,040
| |
TB
|
,210
|
,090
|
,180
|
2,339
|
,037
| |
BTL
|
1,291
|
,150
|
,784
|
8,631
|
,000
| |
AK
|
,004
|
,002
|
,209
|
2,374
|
,035
| |
a. Dependent Variable: BB
| ||||||
Kita lakukan uji parsial F
ANOVA tabel untuk CHOL dengan TRIG, UM, UMSQ
Sumber
|
df
|
SS
|
MS
|
F
|
r²
|
X1
Regresi X2|X3
X3|X1,X2
|
1
1
1
|
326.204
1756.105
66.091
|
326.204
1756.105
66.091
|
29.195
157.17
5.915
|
0.142
|
Residual
|
41
|
140.554
|
11.173
| ||
Total
|
44
|
2288.954
|
*P<0 .05="" span="">
Ringkasan Table analisis yang bisa memantu memilih model estimasi terbaik :
No.
|
Model Estimasi
|
F
|
r²
|
1
|
Y= -2,492 + 0,441 TB
(.289)
|
2.327
|
0,014
|
2
|
Y= -4,303 + 1,554 BTL
(.143)
|
117.411
|
0,893
|
3
|
Y=52,217 + 0,013 AK
(.004)*
|
8.620
|
0,381
|
4
|
Y=-27,527 + 0,155 TB + 1,496 BTL
(.101) (.142)
|
65.499
|
0,909
|
5
|
Y= -31,333 + 0,492 TB + 0,014 AK
(.216) (.004)
|
8.185
|
0,557
|
6
|
Y= -33,412 + 0,210 TB + 1,291 BTL + 0,004 AK
(.090) (.150) (.002)
|
61.141
|
0,938
|
*bermakna p<0 span="">
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