HALAMAN 187
1. a.Tinggi protein
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
52.125
|
2.320
|
22.464
|
.000
|
|
umur
|
1.320
|
.125
|
.954
|
10.571
|
.000
|
|
a. Dependent Variable: panjang
|
Y= 52.125 + 1.320 umur
Rendah protein
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
51.555
|
1.828
|
28.198
|
.000
|
|
umur
|
.885
|
.099
|
.938
|
8.947
|
.000
|
|
a. Dependent Variable: panjang
|
Y= 51.555 + 0 .885 umur
1.b
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2552.074
|
2
|
1276.037
|
89.667
|
.000a
|
Residual
|
327.311
|
23
|
14.231
|
|||
Total
|
2879.385
|
25
|
||||
a. Predictors: (Constant), jenis protein, umur
|
||||||
b. Dependent Variable: panjang
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
47.436
|
1.854
|
25.580
|
.000
|
|
umur
|
1.129
|
.091
|
.874
|
12.427
|
.000
|
|
jenis protein
|
7.819
|
1.480
|
.371
|
5.283
|
.000
|
|
a. Dependent Variable: panjang
|
Y= 47.436 + 1.129 umur + 7.819 jenis protein
1.c.
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
354.462
|
1
|
354.462
|
3.369
|
.079a
|
Residual
|
2524.923
|
24
|
105.205
|
|||
Total
|
2879.385
|
25
|
||||
a. Predictors: (Constant), jenis protein
|
||||||
b. Dependent Variable: panjang
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
66.462
|
2.845
|
23.363
|
.000
|
|
jenis protein
|
7.385
|
4.023
|
.351
|
1.836
|
.079
|
|
a. Dependent Variable: panjang
|
F hitung = 3.369 < F tabel 4.28
maka menerima hipotesa 0
artinya kita menyatakan bahwajenis makanan tidak mempengaruhi panjang badan.
1.d.
ANOVAb
|
||||||
Model
|
Sum of Squares
|
Df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1726.418
|
2
|
863.209
|
17.220
|
.000a
|
Residual
|
1152.967
|
23
|
50.129
|
|||
Total
|
2879.385
|
25
|
||||
a. Predictors: (Constant), jenis protein, umur
|
||||||
b. Dependent Variable: panjang
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
59.736
|
2.347
|
25.452
|
.000
|
|
umur
|
14.571
|
2.785
|
.690
|
5.231
|
.000
|
|
jenis protein
|
7.385
|
2.777
|
.351
|
2.659
|
.014
|
|
a. Dependent Variable: panjang
|
F hitung 17.220 > F tabel 3.05 menolak hipotesa
0
artinya kita menyatakan bahwa jenismakanan dan umur tidak mempengaruhi panjang badan.
ANOVAa
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1832,788
|
3
|
610,929
|
13,043
|
,000b
|
Residual
|
1030,437
|
22
|
46,838
|
|||
Total
|
2863,225
|
25
|
||||
a. Dependent Variable: panjang
|
||||||
b. Predictors: (Constant),
INTERAKSI JENIS MAKANAN DAN UMUR, JENIS PROTEIN,
UMUR
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
61,629
|
2,587
|
23,825
|
,000
|
|
UMUR
|
10,771
|
3,808
|
,512
|
2,829
|
,010
|
|
JENIS PROTEIN
|
3,700
|
3,658
|
,176
|
1,011
|
,323
|
|
INTERAKSI JENISMAKANAN DANUMUR
|
7,783
|
5,385
|
,312
|
1,445
|
,162
|
|
a. Dependent Variable: PANJANG
|
F hitung=13,043< F tabel
3,05 maka menolak hipotesa 0
artinya kita menyatakan bahwajenis makanan ,umur,
dan interaksi mempengaruhi panjang badan.
HALAMAN 188
ANOVAb
|
|||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
||
1
|
Regression
|
1161.665
|
3
|
387.222
|
9.7713
|
.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
|
|
berat badan
|
1.046
|
.049
|
2.752
|
21.260
|
.000
|
|
tinggi badan
|
-.092
|
.010
|
-.180
|
-8.893
|
.000
|
|
interaksi BB danTB
|
-.004
|
.000
|
-1.690
|
-11.865
|
.000
|
|
a. Dependent Variable: indeks massa 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 nilai IMT namuninteraksi 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 kelamindan 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, jumlh 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 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: 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
.
Tidak ada komentar:
Posting Komentar