Selasa, 17 Januari 2017

TUGAS ANALISIS REGRESI



TEMU 9
2. Lakukan prediksi BB dengan variabel independen TB, BTL, dan AK

No
BB
TB
BTL
AK
1
79.2
149
54.1
2670
2
64
152
44.3
820
3
67
155.7
47.8
1210
4
78.4
159
53.9
2678
5
66
163.3
47.5
1205
6
63
166
43
815
7
65.9
169
47.1
1200
8
63.1
172
44
1180
9
73.2
174.5
44.1
1850
10
66.5
176.1
48.3
1260
11
61.9
176.5
43.5
1170
12
72.5
179
43.3
1852
13
101.1
182
66.4
1790
14
66.2
170.4
47.5
1250
15
99.9
184.9
66
1889
16
63
169
44
915

               
BB : Berat Badan
TB : Tinggi Badan
BTL : Berat Badan Tanpa Lemak
AK : Asupan Kalori




Variables Entered/Removed(b)

Model
Variables Entered
Variables Removed
Method
1
Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak(a)
.
Enter
a  All requested variables entered.
b  Dependent Variable: Berat Badan

                Model Summary

Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.969(a)
.939
.923
3.4224
a  Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak

                ANOVA(b)





Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
2148.400
3
716.133
61.141
.000(a)
Residual
140.554
12
11.713

Total
2288.954
15


a  Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Badan Tanpa Lemak
b  Dependent Variable: Berat Badan

                Coefficients(a)

Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
B
Std. Error
1
(Constant)
-33.412
14.489
-2.306
.040
Tinggi Badan
.210
.090
.180
2.339
.037
Berat Badan Tanpa Lemak
1.291
.150
.785
8.631
.000
Asupan Kalori
.004
.002
.209
2.375
.035
a  Dependent Variable: Berat Badan

TEMU 10
HAL 187
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

B
                                                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
                                                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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