TUGAS
ANALISIS REGRESI
1. Lakukan
prediksi CHOL dengan variable independen TRIG dan UM:
a. Hitung
SS for Regression
b. Hitung
SS for Residual
c. Hitung
MSS for Regression
d. Hitung
MSS for Residual
e. Hitung
Nilai F
f. Hitung
Nilai r²
g. Tulis
model regresi
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
UM
|
CHOL
|
TRIG
|
40.0
|
218.0
|
194.0
|
37.0
|
212.0
|
140.0
|
55.0
|
319.0
|
191.0
|
46.0
|
265.0
|
188.0
|
49.0
|
244.0
|
132.0
|
58.0
|
212.0
|
216.0
|
69.0
|
197.0
|
134.0
|
32.0
|
217.0
|
140.0
|
41.0
|
209.0
|
154.0
|
44.0
|
188.0
|
155.0
|
56.0
|
227.0
|
279.0
|
60.0
|
224.0
|
198.0
|
41.0
|
217.0
|
191.0
|
49.0
|
218.0
|
101.0
|
50.0
|
184.0
|
129.0
|
56.0
|
240.0
|
207.0
|
50.0
|
241.0
|
213.0
|
48.0
|
222.0
|
115.0
|
48.0
|
222.0
|
155.0
|
46.0
|
234.0
|
168.0
|
49.0
|
229.0
|
148.0
|
49.0
|
244.0
|
235.0
|
52.0
|
231.0
|
242.0
|
39.0
|
204.0
|
164.0
|
41.0
|
190.0
|
167.0
|
51.0
|
297.0
|
142.0
|
40.0
|
211.0
|
104.0
|
38.0
|
209.0
|
186.0
|
46.0
|
230.0
|
240.0
|
47.0
|
230.0
|
218.0
|
36.0
|
208.0
|
179.0
|
60.0
|
258.0
|
173.0
|
67.0
|
230.0
|
239.0
|
39.0
|
214.0
|
129.0
|
47.0
|
243.0
|
175.0
|
57.0
|
222.0
|
183.0
|
59.0
|
238.0
|
220.0
|
58.0
|
236.0
|
199.0
|
50.0
|
213.0
|
190.0
|
56.0
|
219.0
|
155.0
|
66.0
|
193.0
|
201.0
|
43.0
|
238.0
|
259.0
|
44.0
|
241.0
|
201.0
|
52.0
|
193.0
|
193.0
|
55.0
|
234.0
|
156.0
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1584.648
|
2
|
792.324
|
1.230
|
.303a
|
Residual
|
27061.796
|
42
|
644.328
|
|||
Total
|
28646.444
|
44
|
||||
a.
Predictors: (Constant), UMUR, TRIGLISERIDA
|
||||||
b. Dependent
Variable: CHOLESTEROL
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
188.831
|
24.971
|
7.562
|
.000
|
|
TRIGLISERIDA
|
.105
|
.097
|
.169
|
1.082
|
.285
|
|
UMUR
|
.368
|
.465
|
.123
|
.791
|
.433
|
|
a.
Dependent Variable: CHOLESTEROL
|
JAWAB:
a.
SS
for Regression
SSY
– SSE = 28646,444 – 27061.796 = 1584.648
b.
SS
for Residual = 27061.796
c.
MSS
for Regression
SSReg
: df = 1584.648 : 2 = 792.324
d.
MSS
for Residual
SSE
: df = 27061.796 : 42 = 644.328
e.
Nilai
F
MSSReg
: MSSRes ; 792.324 : 644.328 = 1.230
f.
Nilai
r²
(SSY
– SSE) : SSY = (28646.444 – 27061.796) : 28646.444 = 0.055
g.
Model
regresi
CHOL = 188.831 + 0.10 TRIG + 0.368 UM
2. Lakukan
prediksi BB dengan variable independen TB, BTL, AK
h. Hitung
SS for Regression
i.
Hitung SS for Residual
j.
Hitung MSS for Regression
k. Hitung
MSS for Residual
l.
Hitung Nilai F
m. Hitung
Nilai r²
n. Tulis
model regresi
BB
|
TB
|
BTL
|
AK
|
BB
|
TB
|
BTL
|
AK
|
79.2
|
149.0
|
54.1
|
2670.0
|
73.2
|
174.5
|
44.1
|
1850.0
|
64.0
|
152.0
|
44.3
|
820.0
|
66.5
|
176.1
|
48.3
|
1260.0
|
67.0
|
155.7
|
57.8
|
1210.0
|
61.9
|
176.5
|
43.5
|
1170.0
|
78.4
|
159.0
|
53.9
|
2678.0
|
72.5
|
179.0
|
43.3
|
1853.0
|
66.0
|
163.3
|
47.5
|
1205.0
|
101.1
|
182.0
|
66.4
|
1790.0
|
63.0
|
166.0
|
43.0
|
815.0
|
66.2
|
170.4
|
47.5
|
1250.0
|
65.9
|
169.0
|
47.1
|
1200.0
|
99.9
|
184.9
|
66.0
|
1889.0
|
63.1
|
172.0
|
44.0
|
1180.0
|
63.0
|
169.0
|
44.0
|
915.0
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2059.411
|
3
|
686.470
|
35.887
|
.000a
|
Residual
|
229.543
|
12
|
19.129
|
|||
Total
|
2288.954
|
15
|
||||
a.
Predictors: (Constant), ASUPAN KALORI, TINGGI BADAN, BERAT BADAN TANPA LEMAK
|
||||||
b.
Dependent Variable: BERAT BADAN
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-49.208
|
18.723
|
-2.628
|
.022
|
|
TINGGI
BADAN
|
.343
|
.110
|
.293
|
3.128
|
.009
|
|
BERAT
BADAN TANPA LEMAK
|
1.076
|
.168
|
.681
|
6.401
|
.000
|
|
ASUPAN
KALORI
|
.007
|
.002
|
.313
|
2.976
|
.012
|
|
a.
Dependent Variable: BERAT BADAN
|
JAWAB:
a.
SS
for Regression
SSY – SSE = 2288.954
– 229.543 = 2059.411
b.
SS for Residual = 229.543
c. MSS for Regression
SSReg : df = 2059.411 : 3 = 686.470
d. MSS for Residual
SSE : df = 229.543 : 12 = 19.129
e. Nilai F
MSSReg : MSSRes = 686.470 : 19.129 = 35.887
f. Nilai r²
(SSY –
SSE) : SSY = (2288.954 – 229.543) : 2288.954 = 0.900
g. Model regresi
BB =
-49.208 + 0.343 TB + 1.076 BTL + 0.007 AK
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