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