Minggu, 15 Januari 2017

tugas anreg 11



TUGAS ANREG HAL 188-191

Latihan 1
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, tinggibadan, beratbadan

b. Dependent Variable: indeks massatubuh





Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
13.472
1.485

9.071
.000
beratbadan
1.046
.049
2.752
21.260
.000
tinggibadan
-.092
.010
-.180
-8.893
.000
interaksiBBdanTB
-.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
Hipotesaintersepdan slop = Setiapkenaikan BB akanmempengaruhinillai IMT namuninteraksikeduanya BB dan TB tidakmempengaruhinilai 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), interaksijeniskelamindanumur, umur, jeniskelamin
b. Dependent Variable: indeksmassatubuh




Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
-25.817
45.760

-.564
.574
jeniskelamin
33.589
24.833
3.859
1.353
.181
umur
3.973
4.196
.508
.947
.347
interaksijeniskelamindanumur
-3.075
2.283
-3.778
-1.347
.182
a. Dependent Variable: indeksmassatubuh





Y = β0+ β1X1 +β2X2 +β3X3
IMT = -25.817 + 33.589 JK +  3.973umur  -3.075 interaksijeniskelamindanumur
Hipotesaintersepdan slop = Setiapkenaikanumurdanjeniskelaminmempengaruhinilai IMT namuninteraksikeduanyatidakmempengaruhinilaiIMT .

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 dalammakanan
.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: beratjenis





Y = β0+ β1X1 +β2X2 +β3X3
IMT = -980.543 + 0.138 AMA +  4.716umur  - 0.015 interaksi AMA danumur
Hipotesaintersepdan slop = Setiapkenaikanjumlah air dalammakanandanumurmempengaruhiberatjenisurinnamuninteraksikeduanyatidakmempengaruhiberatjenisurin .








Latihan 2
Variabel
β
Partial F
Umur
1.02892
0.50177
4.2049
IMT
10.45104
11,9623
1.310
RKK
-0.53744
23.23004
0.000529
Umur*RKK
0.43733
0,286
0.376
IMT*RKK
-3.70682
10.76763
0.118336
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