Analisis Regresi
Pertemuan 12 halaman 188-191
Nama : Nur Afni Rahmatiya Abdul
NIM : 20160302074
Sesi : 10
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), interaksiBBdanTB, tinggi badan, berat badan
| ||||||
b. Dependent Variable: indeks masa tubuh
| ||||||
Coefficientsa
| ||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
| ||
B
|
Std. Error
|
Beta
| ||||
1
|
(Constant)
|
13.472
|
1.485
|
9.071
|
.000
| |
berat badan
|
1.046
|
.049
|
2.752
|
21.260
|
.000
| |
tinggi badan
|
-.092
|
.010
|
-.180
|
-8.893
|
.000
| |
InteraksiBBdanTB
|
-.004
|
.000
|
-1.690
|
-11.865
|
.000
| |
a. Dependent Variable: indeks masa tubuh
| ||||||
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 nsmun interaksi ke duanya 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 + 3.973 umur -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 dalam makanan
| ||||||||||||
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 + 4.716 umur - 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 .
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
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