TUGAS ANALISIS REGRESI
HAL. 187
NAMA : MIKA PUSPITA
NIM : 201532286
DOSEN : IDRUS JUS'AT
HAL. 187
NAMA : MIKA PUSPITA
NIM : 201532286
DOSEN : IDRUS JUS'AT
1.
A
Tinggi
Protein
Coefficients(a)
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
| B |
Std. Error
|
Beta
|
B
|
Std. Error
|
||
|
1
|
(Constant)
|
52.211
|
2.308
|
|
22.624
|
.000
|
| umur |
1.317
|
.124
|
.954
|
10.609
|
.000
|
|
a Dependent Variable: panjang badan
Persamaan garis:
Y = 52,211 + 1,217 umur
Rendah Protein
Coefficients(a)
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
| B |
Std. Error
|
Beta
|
B
|
Std. Error
|
||
|
1
|
(Constant)
|
51.656
|
1.803
|
|
28.656
|
.000
|
| umur |
.887
|
.098
|
.940
|
9.098
|
.000
|
|
a Dependent Variable: panjang badan
Persamaan Garis:
Y = 51,656 + 0,887 Umur
Model
Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.942(a)
|
.888
|
.878
|
3.7390
|
a Predictors: (Constant), Jenis Protein, umur
ANOVA(b)
|
Model
|
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
2541.687
|
2
|
1270.844
|
90.905
|
.000(a)
|
| Residual |
321.538
|
23
|
13.980
|
|
|
|
| Total |
2863.225
|
25
|
|
|
|
a Predictors: (Constant), Jenis Protein, umur
b Dependent Variable: panjang badan
Coefficients(a)
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
| B |
Std. Error
|
Beta
|
B
|
Std. Error
|
||
|
1
|
(Constant)
|
47.581
|
1.838
|
|
25.888
|
.000
|
| umur |
1.129
|
.090
|
.876
|
12.533
|
.000
|
|
| Jenis Protein |
7.727
|
1.467
|
.368
|
5.267
|
.000
|
|
a Dependent Variable: panjang badan
Persamaan Garis:
Y = 47,581 + 1,129 Umur +
7,727 Jenis Protein
C. Bukti Jenis makanan berpengaruh terhadap PB
Model
Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.347(a)
|
.121
|
.084
|
10.2420
|
a Predictors: (Constant), Jenis Protein
ANOVA(b)
|
Model
|
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
345.655
|
1
|
345.655
|
3.295
|
.082(a)
|
| Residual |
2517.569
|
24
|
104.899
|
|
|
|
| Total |
2863.225
|
25
|
|
|
|
a Predictors: (Constant), Jenis Protein
b Dependent Variable: panjang badan
Coefficients(a)
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
| B |
Std. Error
|
Beta
|
B
|
Std. Error
|
||
|
1
|
(Constant)
|
66.600
|
2.841
|
|
23.446
|
.000
|
| Jenis Protein |
7.292
|
4.017
|
.347
|
1.815
|
.082
|
|
a Dependent Variable: panjang badan
F Hitung = 3,295
F Tabel = 4,26
Kesimpulan
F hitung < F tabel,
makan dapat disimpulkan bahwa jenis makanan protein tidak berpengaruh terhadap
panjang badan
D
Model
Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.800(a)
|
.640
|
.591
|
6.8438
|
a Predictors: (Constant), Interaksi jenis
protein dengan umur, umur, Jenis Protein
ANOVA(b)
|
Model
|
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1832.788
|
3
|
610.929
|
13.043
|
.000(a)
|
| Residual |
1030.437
|
22
|
46.838
|
|
|
|
| Total |
2863.225
|
25
|
|
|
|
a Predictors: (Constant), Interaksi jenis
protein dengan umur, umur, Jenis Protein
b Dependent Variable: panjang badan
Coefficients(a)
|
Model
|
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
|
| B |
Std. Error
|
Beta
|
B
|
Std. Error
|
||
|
1
|
(Constant)
|
72.400
|
2.794
|
|
25.913
|
.000
|
| umur |
-10.771
|
3.808
|
-.512
|
-2.829
|
.010
|
|
| Jenis Protein |
11.483
|
3.951
|
.547
|
2.906
|
.008
|
|
| Interaksi jenis protein dengan umur |
-7.783
|
5.385
|
-.329
|
-1.445
|
.162
|
|
a Dependent Variable: panjang badan
F hitung = 13,043
F Tabel = 3,05
Kesimpulan:
F Hitung > F tabel, maka
dapat disimpulkan bahwa jenis makanan dan umur berpengaruh terhadap 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 dan TB
|
-.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 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
+ 3.973 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 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
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