Rabu, 23 November 2016

ANALISIS REGRESI TUGAS PERTEMUAN KE 8

TUGAS 8

1. Prediksi CHOL dengan variabel independen TRIG, UM, dan UM kuadrat


UM
CHOL
TRIG
UMSQ
UM
CHOL
TRIG
UMSQ
40
218
194.0
1600.0
51
297.0
142.0
2601.0
46
265
188.0
2116.0
46
230.0
240.0
2116.0
69
197
134.0
4761.0
60
258.0
173.0
3600.0
44
188
155.0
1936.0
47
243.0
175.0
2209.0
41
217
191.0
1681.0
58
236.0
199.0
3364.0
56
240
207.0
3136.0
66
193.0
201.0
4356.0
48
222
155.0
2304.0
52
193.0
193.0
2704.0
49
244
235.0
2401.0
55
319.0
191.0
3025.0
41
190
167.0
1681.0
58
212.0
216.0
3364.0
38
209
186.0
1444.0
41
209.0
154.0
1681.0
36
208
179.0
1296.0
60
224.0
198.0
3600.0
39
214
129.0
1521.0
50
184.0
129.0
2500.0
59
238
220.0
3481.0
48
222.0
115.0
2304.0
56
219
155.0
3136.0
49
229.0
148.0
2401.0
44
241
201.0
1936.0
39
204.0
164.0
1521.0
37
212
140.0
1369.0
40
211.0
104.0
1600.0
40
244
132.0
1600.0
47
230.0
218.0
2209.0
32
217
140.0
1024.0
67
230.0
239.0
4489.0
56
227
279.0
3136.0
57
222.0
183.0
3249.0
49
218
101.0
2401.0
50
213.0
190.0
2500.0
50
241
213.0
2500.0
43
238.0
259.0
1849.0
46
234
168.0
2116.0
55
234.0
156.0
3025.0
52
231
242.0
2704
Regression
Model 1
CHOL = β₀ + β₁TRIG
Coefficient
Standar Error
Partial F
β₀ = 203.123

1.850
β₁ = 0.127
.093


[DataSet0]
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

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
Estimasi model 1 : CHOL = 203.123 + 0.127 TRIG

Sumber
df
SS
MS
F
r2
Regresi
1
1181.676
1181.676
1.850
.041
Residual
43
27464.768
638.716


Total
44
28646.444




Model 2
CHOL = β₀ + β₂UM+E
Coefficient
Standar Error
Partial F
β₀ = 204.048

1.007
β₁ = 0.445
.0444

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

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
Estimasi model 2 : CHOL = 204.048 + 0.445 UM

Sumber
df
SS
MS
F
r2
Regresi
1
655.625
655.625
1.007
.023
Residual
43
27990.819
650.949


Total
44
28646.444




Model 3
CHOL = β₀ + β₃(UM)²+E
Coefficient
Standar Error
Partial F
β₀ = 217.420

0.603
β₁ = .003
.004


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

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
Estimasi model 3: CHOL= 217.420 + 0.003 UMSQ

Sumber
df
SS
MS
F
r2
Regresi
1
396.227
396.277
0.603
.014
Residual
43
28250.217
656.982


Total
44
28646.444



Model 4
 CHOL = β₀ + β₁ TRIG + β₂UM+E
Coefficient
Standar Error
Partial F
β₀ = 192.155

1.110
β₁ = 0.108
.098

β₂ = 0.292
.464


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:
 CHOL = β₀ + β₁TRIG+β₃(UM)²+E
Coefficient
Standar Error
Partial F
β₀ = 200.525

.992
β₁ = .115
.098

β₃ = .002
.005


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: 
CHOL = β₀ + β₁TRIG+β₂ UM+β₃(UM)²+E
Coefficient
Standar Error
Partial F
β₀ = -21.969

2.274
β₁ = .079
.095

β₂ = 9.220
4.269

β₃ = -.088
.042


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
r2
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
r2
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 


Tidak ada komentar:

Posting Komentar