TUGAS
ANALISIS REGRESI
PERTEMUAN 12
Yefrison Kolifay
20160302212
UNIVERSITAS ESA UNGGUL
FAKULTAS ILMU ILMU KESEHATAN
PROGRAM STUDI ILMU GIZI
JAKARTA
2017
1. Halaman 188
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
1161.665
|
3
|
387.222
|
9.771E3
|
.000a
|
|
Residual
|
2.735
|
69
|
.040
|
|
|
|
|
Total
|
1164.399
|
72
|
|
|
|
|
|
a. Predictors: (Constant),
interaksi BB dan TB, tinggi badan, berat badan
|
|
|||||
|
b.
Dependent Variable: indeks massa tubuh
|
|
|
|
|||
Coefficientsa
|
||||||
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
13.472
|
1.485
|
|
9.071
|
.000
|
|
bera tbadan
|
1.046
|
.049
|
2.752
|
21.260
|
.000
|
|
|
tinggi badan
|
-.092
|
.010
|
-.180
|
-8.893
|
.000
|
|
|
interaksi BB dan TB
|
-.004
|
.000
|
-1.690
|
-11.865
|
.000
|
|
|
a.
Dependent Variable: indeksmasatubuh
|
|
|
|
|||
Y
= β0+ β1X1 +β2X2 +β3X3
IMT
= 13.472 + 1.046 BB -.092 TB -0.004 interaksi BB dan
TB
Hipotesa intersep dan slop = Setiap kenaikan BB akan mempengaruhi nillai IMT namun interaksi keduanya BB dan TB
tidak mempengaruhi nilai IMT.
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
75.863
|
3
|
25.288
|
1.603
|
.197a
|
|
Residual
|
1088.537
|
69
|
15.776
|
|
|
|
|
Total
|
1164.399
|
72
|
|
|
|
|
|
a.
Predictors: (Constant), interaksi jenis kelamin dan umur, umur, jenis kelamin
|
||||||
|
b.
Dependent Variable: indeks massa tubuh
|
|
|
|
|||
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
-25.817
|
45.760
|
|
-.564
|
.574
|
|
jenis kelamin
|
33.589
|
24.833
|
3.859
|
1.353
|
.181
|
|
|
umur
|
3.973
|
4.196
|
.508
|
.947
|
.347
|
|
|
interaksi jenis kelamin dan umur
|
-3.075
|
2.283
|
-3.778
|
-1.347
|
.182
|
|
|
a.
Dependent Variable: indeks massa tubuh
|
|
|
|
|
||
Y
= β0+ β1X1 +β2X2 +β3X3
IMT
= -25.817 + 33.589 JK + 3.973umur
-3.075 interaksi jenis kelamin dan umur
Hipotesa intersep dan slop = Setiap kenaikan umur dan jenis kelamin mempengaruhi nilai IMT namun interaksi keduanya tidak mempengaruhi nilai IMT .
|
ANOVAb
|
||||||
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
1383.154
|
3
|
461.051
|
7.959
|
.000a
|
|
Residual
|
3997.093
|
69
|
57.929
|
|
|
|
|
Total
|
5380.247
|
72
|
|
|
|
|
|
a.
Predictors: (Constant), interaksi, umur, jumlah air dalammakanan
|
|
|||||
|
b.
Dependent Variable: berat jenis
|
|
|
|
|||
Coefficientsa
|
||||||
|
Model
|
Unstandardized
Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
|
B
|
Std. Error
|
Beta
|
||||
|
1
|
(Constant)
|
980.543
|
65.228
|
|
15.033
|
.000
|
|
jumlah
air dalam makanan
|
.138
|
.124
|
2.840
|
1.116
|
.268
|
|
|
umur
|
4.716
|
6.053
|
.281
|
.779
|
.439
|
|
|
interaksi
|
-.015
|
.011
|
-3.333
|
-1.298
|
.199
|
|
|
a.
Dependent Variable: berat jenis
|
|
|
|
|
||
Y
= β0+ β1X1 +β2X2 +β3X3
IMT
= -980.543 + 0.138 AMA + 4.716umur
- 0.015 interaksi AMA dan umur
Hipotesa intersep dan slop = Setiap kenaikan jumlah air dalam makanan dan umur mempengaruhi berat jenis urin namun interaksi keduanya tidak mempengaruhi berat jenis urin .
2. Halaman 191
|
Variabel
|
β
|
Sβ
|
Partial F
|
|
Umur
|
1.02892
|
0.50177
|
4.2049
|
|
IMT
|
10.45104
|
9.13113
|
1.310
|
|
RKK
|
-0.53744
|
23.23004
|
0.000535
|
|
Umur*RKK
|
0.43733
|
0.71320
|
0.376
|
|
IMT*RKK
|
-3.70682
|
10.76763
|
0.1185
|
|
Intersep
|
48.61271
|
-
|
-
|
Model
regresi :
Y
= 48.61271 + 1.02892 + 0.50177 UMUR
Y
= 48.61271 + 10.45104 + 9.131 IMT
Y
= 48.61271 – 0.53744 + 23.23004 RKK
Y
= 48.61271 + 0.43733 + 0.7132 UMUR*RKK
Y
= 48.61271 – 3.70682 + 10.76763 IMT*RKK
Y
= 48.61271 + β1X1 + β2X2 + β3X3 +β4X4 +β5X5
=
48.61271 + 1.02892 U + 10.45104 IMT – 0.53744 RKK + 0.43733 U*RKK – 3.70682
IMT*RKK
Tidak ada komentar:
Posting Komentar