latihan 1 (hal 123)
1. Lakukan
prediksi CHOL dengan variabel independen TRIG dan UM :
a. Hitung
Sum of Square for Reggression (X)
b. Hitung
Sum of Square for Residual
c. Hitung
Means of Square for Regression (X)
d. Hitung
Means of Square for Residual
e. Hitung
nilai F
f. Hitung
nilai r²
g. Tulis
model regresi
2. Lakukan
predikri Berat Badan (BB) dengan variabel independen Tinggi Badan (TB), Berat
Badan tanpa Lemak (BTL) dan Asupan Kalori (AK)
a. Hitung
Sum of Square for Reggression (X)
b. Hitung
Sum of Square for Residual
c. Hitung
Means of Square for Regression (X)
d. Hitung
Means of Square for Residual
e. Hitung
nilai F
f. Hitung
nilai r²
g. Tulis
model regresi
jawaban :
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.224a
|
.050
|
.005
|
25.45244
|
a.
Predictors: (Constant), TRIGLISERIDA, UMUR
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1437.719
|
2
|
718.860
|
1.110
|
.339a
|
Residual
|
27208.725
|
42
|
647.827
|
|
|
|
Total
|
28646.444
|
44
|
|
|
|
|
a. Predictors: (Constant), TRIGLISERIDA, UMUR
|
||||||
b.
Dependent Variable: CHOLESTEROL
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
192.155
|
24.554
|
|
7.826
|
.000
|
UMUR
|
.292
|
.464
|
.099
|
.629
|
.533
|
|
TRIGLISERIDA
|
.108
|
.098
|
.173
|
1.099
|
.278
|
|
a.
Dependent Variable: CHOLESTEROL
|
1. prediksi
CHOL dengan variabel independen TRIG dan UM :
a. Sum
of Square for Reggression (X) = 1437.719
b. Sum
of Square for Residual =27208.725
c.
Means of Square for
Regression (X) = 718.860
d.
Means of Square for
Residual =647.827
e.
Nilai F = 1.110
f. Nilai
r² = 0.050
g.
Model regresi : CHOL=
192.155 + 0.292 UM + 0.108 TRIG
Model Summary
|
||||
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
1
|
.978a
|
.956
|
.930
|
3.356
|
a.
Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat Tanpa Lemak
|
ANOVAb
|
||||||
Model
|
Sum of Squares
|
Df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
1225.425
|
3
|
408.475
|
36.265
|
.001a
|
Residual
|
56.318
|
5
|
11.264
|
|
|
|
Total
|
1281.742
|
8
|
|
|
|
|
a. Predictors: (Constant), Asupan Kalori, Tinggi Badan, Berat
Tanpa Lemak
|
||||||
b.
Dependent Variable: Berat Badan
|
Coefficientsa
|
||||||
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
||
B
|
Std. Error
|
Beta
|
||||
1
|
(Constant)
|
-34.814
|
18.728
|
|
-1.859
|
.122
|
Tinggi Badan
|
.224
|
.114
|
.199
|
1.962
|
.107
|
|
Berat Tanpa Lemak
|
1.334
|
.196
|
.831
|
6.807
|
.001
|
|
Asupan Kalori
|
.003
|
.002
|
.171
|
1.384
|
.225
|
|
a.
Dependent Variable: Berat Badan
|
2. prediksi
Berat Badan (BB) dengan variabel independen Tinggi Badan (TB), Berat Badan
tanpa Lemak (BTL) dan Asupan Kalori (AK)
a. Sum
of Square for Reggression (X) = 1225.425
b. Sum
of Square for Residual = 56.318
c.
Means of Square for
Regression (X) = 408.475
d. Means
of Square for Residual = 11.264
e. Nilai
F = 36.265
f.
Nilai r² = 0.956
g.
Model regresi : BB= -34.814 + 0.224
TB + 1.334 BTL + 0.003 AK
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