TUGAS
ANALISIS REGRESI HALAMAN 153
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
|
208.0
|
179.0
|
1296.0
|
60
|
224.0
|
198.0
|
3600.0
|
39
|
214.0
|
129.0
|
1521.0
|
50
|
184.0
|
129.0
|
2500.0
|
59
|
238.0
|
220.0
|
3481.0
|
48
|
222.0
|
115.0
|
2304.0
|
56
|
219.0
|
155.0
|
3136.0
|
49
|
229.0
|
148.0
|
2401.0
|
44
|
241.0
|
201.0
|
1936.0
|
39
|
204.0
|
164.0
|
1521.0
|
37
|
212.0
|
140.0
|
1369.0
|
40
|
211.0
|
104.0
|
1600.0
|
40
|
244.0
|
132.0
|
1600.0
|
47
|
230.0
|
218.0
|
2209.0
|
32
|
217.0
|
140.0
|
1024.0
|
67
|
230.0
|
239.0
|
4489.0
|
56
|
227.0
|
279.0
|
3136.0
|
57
|
222.0
|
183.0
|
3249.0
|
49
|
218.0
|
101.0
|
2401.0
|
50
|
213.0
|
190.0
|
2500.0
|
50
|
241.0
|
213.0
|
2500.0
|
43
|
238.0
|
259.0
|
1849.0
|
46
|
234.0
|
168.0
|
2116.0
|
55
|
234.0
|
156.0
|
3025.0
|
52
|
231.0
|
242.0
|
2704
|
Regression
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
|
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
|
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