Latihan 1
Lakukan prediksi TDS dengan variabel independen IMT, Umur dan Umur
Kuadrat
a.
Hitung SS for Regression (X3│
X1, X2)
b.
Hitung SS for Residual
c.
Hitung Means SS for Regression
(X3 │ X1, X2)
d.
Hitung Means SS for Residual
e.
Hitung nilai F parsial
f.
Hitung nilai r2
g.
Buktikan penambahan X3 berperan
dalam memprediksi Y
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
40
|
218
|
194
|
37
|
212
|
140
|
55
|
319
|
191
|
46
|
265
|
188
|
40
|
244
|
132
|
58
|
212
|
216
|
69
|
197
|
134
|
32
|
217
|
140
|
41
|
209
|
154
|
44
|
188
|
155
|
56
|
227
|
279
|
60
|
224
|
198
|
41
|
217
|
191
|
49
|
218
|
101
|
50
|
184
|
129
|
56
|
240
|
207
|
50
|
241
|
213
|
48
|
222
|
115
|
48
|
222
|
155
|
46
|
234
|
168
|
49
|
229
|
148
|
49
|
244
|
235
|
52
|
231
|
242
|
39
|
204
|
164
|
41
|
190
|
167
|
51
|
297
|
142
|
40
|
211
|
104
|
38
|
209
|
186
|
46
|
230
|
240
|
47
|
230
|
218
|
36
|
208
|
179
|
60
|
258
|
173
|
67
|
230
|
239
|
39
|
214
|
129
|
47
|
243
|
175
|
57
|
222
|
183
|
59
|
238
|
220
|
58
|
236
|
199
|
50
|
213
|
190
|
56
|
219
|
155
|
66
|
193
|
201
|
43
|
238
|
259
|
44
|
241
|
201
|
52
|
193
|
193
|
55
|
234
|
156
|
UM
= Umur
CHOL = Cholesterol
TRIG = Trigliserida
Jawaban :
Regression
Model
1
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Trigliseridab
|
.
|
Enter
|
a. Dependent Variable: Cholesterol
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.203a
|
.041
|
.019
|
25.273
|
a. Predictors: (Constant),
Trigliserida
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1181.676
|
1
|
1181.676
|
1.850
|
.181b
|
Residual
|
27464.768
|
43
|
638.716
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
a. Dependent Variable: Cholesterol
|
b. Predictors: (Constant),
Trigliserida
|
Estimasi Model 1 :
Chol= 203.123 + 0.127 Trigliserida
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
203.123
|
17.156
|
|
11.840
|
.000
|
Trigliserida
|
.127
|
.093
|
.203
|
1.360
|
.181
|
a. Dependent Variable: Cholesterol
|
Model 2
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Umurb
|
.
|
Enter
|
a.
Dependent Variable: Cholesterol
|
|||
b.
All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.151a
|
.023
|
.000
|
25.514
|
a.
Predictors: (Constant), Umur
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
655.625
|
1
|
655.625
|
1.007
|
.321b
|
Residual
|
27990.819
|
43
|
650.949
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
|
a. Dependent Variable: Cholesterol
|
||||||
b. Predictors: (Constant), Umur
|
Estimasi Model 2: CHOL=
204.408 + 0.445 UM
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
204.048
|
22.093
|
|
9.236
|
.000
|
Umur
|
.445
|
.444
|
.151
|
1.004
|
.321
|
|
a.
Dependent Variable: Cholesterol
|
Model 3
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Umur
kuadratb
|
.
|
Enter
|
a.
Dependent Variable: Cholesterol
|
|||
b.
All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.118a
|
.014
|
-.009
|
25.632
|
a.
Predictors: (Constant), Umur kuadrat
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
396.227
|
1
|
396.227
|
.603
|
.442b
|
Residual
|
28250.217
|
43
|
656.982
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
|
a.
Dependent Variable: Cholesterol
|
||||||
b.
Predictors: (Constant), Umur kuadrat
|
Estimasi model 3: CHOL=
217.420 + 0.003 UMSQ
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
217.420
|
11.555
|
|
18.816
|
.000
|
Umur
kuadrat
|
.003
|
.004
|
.118
|
.777
|
.442
|
|
a.
Dependent Variable: Cholesterol
|
Model 4
Variables Entered/Removeda
|
|||||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
||||
1
|
Umur,
Trigliseridab
|
.
|
Enter
|
||||
a.
Dependent Variable: Cholesterol
|
|||||||
b.
All requested variables entered.
|
|||||||
Model
Summary
|
|||||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|||
1
|
.224a
|
.050
|
.005
|
25.452
|
|||
a.
Predictors: (Constant), Umur, Trigliserida
|
|||||||
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1437.719
|
2
|
718.860
|
1.110
|
.339b
|
Residual
|
27208.725
|
42
|
647.827
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
|
a.
Dependent Variable: Cholesterol
|
||||||
b.
Predictors: (Constant), Umur, Trigliserida
|
Estimasi model 4 =
CHOL= 192.155 + 0.108 TRIG + 0.292 UM
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
192.155
|
24.554
|
|
7.826
|
.000
|
Trigliserida
|
.108
|
.098
|
.173
|
1.099
|
.278
|
|
Umur
|
.292
|
.464
|
.099
|
.629
|
.533
|
|
a.
Dependent Variable: Cholesterol
|
Model 5
Variables Entered/Removeda
|
||||||||||||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|||||||||||
1
|
Umur
kuadrat, Trigliseridab
|
.
|
Enter
|
|||||||||||
a.
Dependent Variable: Cholesterol
|
||||||||||||||
b.
All requested variables entered.
|
||||||||||||||
Model
Summary
|
||||||||||||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
||||||||||
1
|
.212a
|
.045
|
.000
|
25.520
|
||||||||||
a.
Predictors: (Constant), Umur kuadrat, Trigliserida
|
||||||||||||||
ANOVAa
|
||||||||||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|||||||||
1
|
Regression
|
1292.618
|
2
|
646.309
|
.992
|
.379b
|
||||||||
Residual
|
27353.826
|
42
|
651.282
|
|
|
|||||||||
Total
|
28646.444
|
44
|
|
|
|
|||||||||
a.
Dependent Variable: Cholesterol
|
||||||||||||||
b.
Predictors: (Constant), Umur kuadrat, Trigliserida
|
||||||||||||||
Estimasi model 5: CHOL=
200.525 + 0.115 TRIG + 0.002 UMSQ
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
200.525
|
18.433
|
|
10.879
|
.000
|
Trigliserida
|
.115
|
.098
|
.185
|
1.173
|
.247
|
|
Umur
kuadrat
|
.002
|
.005
|
.065
|
.413
|
.682
|
|
a.
Dependent Variable: Cholesterol
|
Model 6
Variables Entered/Removeda
|
||||||||||||||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
|||||||||||
1
|
Umur
kuadrat, Trigliserida, Umurb
|
.
|
Enter
|
|||||||||||
a.
Dependent Variable: Cholesterol
|
||||||||||||||
b.
All requested variables entered.
|
||||||||||||||
Model Summary
|
||||||||||||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
||||||||||
1
|
.378a
|
.143
|
.080
|
24.475
|
||||||||||
a.
Predictors: (Constant), Umur kuadrat, Trigliserida,Umur
|
||||||||||||||
ANOVAa
|
||||||||||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|||||||||
1
|
Regression
|
4086.344
|
3
|
1362.115
|
2.274
|
.094b
|
||||||||
Residual
|
24560.100
|
41
|
599.027
|
|
|
|||||||||
Total
|
28646.444
|
44
|
|
|
|
|||||||||
a.
Dependent Variable: Cholesterol
|
||||||||||||||
b.
Predictors: (Constant), Umur kuadrat, Trigliserida, Umur
|
||||||||||||||
Estimasi
model 6: CHOL= -21.969 + 0.079 TRIG + 9.220 UM – 0.088 UMSQ
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-21.969
|
104.532
|
|
-.210
|
.835
|
Trigliserida
|
.079
|
.095
|
.126
|
.825
|
.414
|
|
Umur
|
9.220
|
4.269
|
3.132
|
2.160
|
.037
|
|
Umur
kuadrat
|
-.088
|
.042
|
-3.035
|
-2.103
|
.042
|
|
a.
Dependent Variable: Cholesterol
|
ANOVA Tabel untuk CHOL
dengan TRIG,UM,UMSQ
Sumber
|
df
|
SS
|
MS
|
F
|
|
Regresi X1
X2│X1
X3│X1,X2
|
1
1
1
|
1181.676
256.043
2648.625
|
1181.676
256.043
2648.625
|
1.97
0.43
4.42
|
0.143
|
Residual
|
41
|
24560.100
|
599.027
|
|
|
Total
|
44
|
28646.444
|
|
|
|
No
|
Model Estimasi
|
F
|
|
1
|
Y= 203.123 + 0.127 TRIG
(.093)*
|
1.850
|
.041
|
2
|
Y = 204.408 + 0.445 UM
(.444)*
|
1.007
|
.023
|
3
|
Y= 217.420 + 0.003
UMSQ(.004)
|
.603
|
.014
|
4
|
Y= 192.155 + 0.108 TRIG +
0.292 UM (.098 )* (.464)*
|
1.110
|
.050
|
5
|
Y= 200.525 + 0.115 TRIG +
0.002 UMSQ (.098)* (.005)
|
.992
|
.045
|
6
|
Y= -21.969 + 0.079 TRIG + 9.220 UM – 0.088 UMSQ
(.095)* (4.269)* (.042)
|
2.274
|
.143
|
Angka
dalam tanda kurung adalah standar error dari parameter
*bermakna
(p<0.05)
Latihan 2
Lakukan prediksi TDS dengan variabel independen IMT, Umur dan Umur
Kuadrat
a.
Hitung SS for Regression (X3│
X1, X2)
b.
Hitung SS for Residual
c.
Hitung Means SS for Regression
(X3 │ X1, X2)
d.
Hitung Means SS for Residual
e.
Hitung nilai F parsial
f.
Hitung nilai r2
g.
Buktikan penambahan X3 berperan
dalam memprediksi Y
BB
|
TB
|
BTL
|
AK
|
79.2
|
149
|
54.1
|
2670
|
64.0
|
152
|
44.3
|
820
|
67.0
|
155.7
|
47.8
|
1210
|
78.4
|
159
|
53.9
|
2678
|
66.0
|
163.3
|
47.5
|
1205
|
63.0
|
166
|
43
|
815
|
65.9
|
169
|
47.1
|
1200
|
63.1
|
172
|
44.0
|
1180
|
73.2
|
174.5
|
44.1
|
1850
|
66.5
|
176.1
|
48.3
|
1260
|
61.9
|
176.5
|
43.5
|
1170
|
72.5
|
179
|
43.3
|
1852
|
101.1
|
182
|
66.4
|
1790
|
66.2
|
170.4
|
47.5
|
1250
|
99.9
|
184.9
|
66
|
1889
|
63.0
|
169
|
44
|
915
|
BB =
Berat Badan
TB =
Tinggi Badan
BTL = Berat Tanpa Lemak
AK =
Asupan Kalori
Jawaban :
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Tinggi
Badanb
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.378a
|
.143
|
.081
|
11.8405
|
a. Predictors: (Constant), Tinggi
Badan
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
326.204
|
1
|
326.204
|
2.327
|
.149b
|
Residual
|
1962.751
|
14
|
140.196
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), Tinggi Badan
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-2.492
|
48.880
|
|
-.051
|
.960
|
Tinggi
Badan
|
.441
|
.289
|
.378
|
1.525
|
.149
|
a.
Dependent Variable: Berat Badan
|
Model 1: BB = β₀ + β₁ TB
Estimasi model 1: BB = -2.492 + 0.441
TB
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BB
Tanpa Lemakb
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.945a
|
.893
|
.886
|
4.1735
|
a. Predictors: (Constant), BB Tanpa Lemak
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2045.099
|
1
|
2045.099
|
117.411
|
.000b
|
Residual
|
243.855
|
14
|
17.418
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), BB Tanpa Lemak
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-4.303
|
7.112
|
|
-.605
|
.555
|
BB
Tanpa Lemak
|
1.554
|
.143
|
.945
|
10.836
|
.000
|
a. Dependent Variable: Berat Badan
|
Model 2:
BB = β₀
+ β₁
BTL
Estimasi
model 2: BB = -4.303 + 1.554 BTL
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Asupan
Kalorib
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.617a
|
.381
|
.337
|
10.0593
|
a. Predictors: (Constant), Asupan
Kalori
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
872.301
|
1
|
872.301
|
8.620
|
.011b
|
Residual
|
1416.653
|
14
|
101.190
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), Asupan
Kalori
|
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: Berat Badan
|
Model 3:
BB = β₀
+ β₁
AK
Estimasi
model 3: BB = 52.517 + 0.013 AK
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
BB
Tanpa Lemak, Tinggi Badanb
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.954a
|
.910
|
.896
|
3.9870
|
a. Predictors: (Constant), BB Tanpa Lemak,
Tinggi Badan
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2082.309
|
2
|
1041.154
|
65.499
|
.000b
|
Residual
|
206.645
|
13
|
15.896
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), BB Tanpa
Lemak, Tinggi Badan
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-27.527
|
16.631
|
|
-1.655
|
.122
|
Tinggi
Badan
|
.155
|
.101
|
.132
|
1.530
|
.150
|
|
BB
Tanpa Lemak
|
1.496
|
.142
|
.910
|
10.511
|
.000
|
a. Dependent
Variable: Berat Badan
|
Estimasi
model 4: BB = -27.527 + 0.155 TB + 1.496 BTL
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Asupan
Kalori, BB Tanpa Lemakb
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.954a
|
.911
|
.897
|
3.9676
|
a.
Predictors: (Constant), Asupan Kalori, BB Tanpa Lemak
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2084.306
|
2
|
1042.153
|
66.201
|
.000b
|
Residual
|
204.649
|
13
|
15.742
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), Asupan Kalori, BB Tanpa
Lemak
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-2.474
|
6.860
|
|
-.361
|
.724
|
BB
Tanpa Lemak
|
1.418
|
.162
|
.862
|
8.774
|
.000
|
|
Asupan
Kalori
|
.003
|
.002
|
.155
|
1.578
|
.139
|
a. Dependent Variable: Berat Badan
|
Estimasi
model 5: BB = -2.474 + 1.418 BTL + 0.003 AK
Regression
Variables Entered/Removeda
|
|||
Model
|
Variables Entered
|
Variables Removed
|
Method
|
1
|
Asupan
Kalori, Tinggi Badan, BB Tanpa Lemakb
|
.
|
Enter
|
a. Dependent Variable: Berat Badan
|
b. All requested variables entered.
|
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.969a
|
.939
|
.923
|
3.4224
|
a. Predictors: (Constant), Asupan
Kalori, Tinggi Badan, BB Tanpa Lemak
|
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2148.400
|
3
|
716.133
|
61.141
|
.000b
|
Residual
|
140.554
|
12
|
11.713
|
|
|
|
Total
|
2288.954
|
15
|
|
|
|
a. Dependent Variable: Berat Badan
|
b. Predictors: (Constant), Asupan Kalori, Tinggi Badan,
BB Tanpa Lemak
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-33.412
|
14.489
|
|
-2.306
|
.040
|
Tinggi
Badan
|
.210
|
.090
|
.180
|
2.339
|
.037
|
|
BB
Tanpa Lemak
|
1.291
|
.150
|
.785
|
8.631
|
.000
|
|
Asupan
Kalori
|
.004
|
.002
|
.209
|
2.375
|
.035
|
|
Uji
parsial F dari hasil-hasil yang sudah didapat.
Tabel ANOVA utk BB dgn TB, BTL, dan AK:
Model
|
Sumber
|
df
|
Sum of Square (SS)
|
Mean of Square (MS)
|
F
|
r2
|
Regression
|
X1
|
1
|
326.204
|
326.204
|
27.85
|
0.939
|
X2ǀX1
|
1
|
1756.105
|
714.95
|
61.04
|
||
X3ǀX1, X2
|
1
|
66.091
|
-325.021
|
-27.75
|
||
Residual
|
|
12
|
140.554
|
11.713
|
|
|
TOTAL
|
|
15
|
2288.954
|
|
|
|
Dibawah ini adalah tabel pemilihan model estimasi yg terbaik.
No.
|
Model Estimasi
|
F
|
r2
|
1.
|
Y = -2.492 + 0.441 TB (0.289)*
|
2.327
|
0.143
|
2.
|
Y = -4.303 + 1.554 BTL (0.143)*
|
117.411
|
0.893
|
3.
|
Y = 52.517 + 0.013 AK (0.004)
|
8.620
|
0.381
|
4.
|
Y = -27.527 + 0.155 TB + 1.496 BTL (0.101)* (0.142)*
|
65.499
|
0.910
|
5.
|
Y = -2.474 + 1.418 BTL + 0.003 AK (0.162)* (0.002)
|
66.201
|
0.911
|
6.
|
Y = -33.412 + 0.210 TB + 1.291 BTL + 0.004 AK (0.090)* (0.150)* (0.002)
|
61.141
|
0.923
|
Angka
dalam tanda kurung adalah standar error dari parameter
*bermakna
(p<0.05)