a. 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
B. 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
