Regression Standardized Predicted Value
2 1
-1 -2
Y2
1.500 1.250
1.000 0.750
0.500 0.250
Scatterplot Dependent Variable: Y2
R Sq Linear = 0.811
4. VARIABEL BEBAS : X2, X3, X5b REGRESSION
Descriptive Statistics
1,01292 ,379305
24 1,62621
,272098 24
1,58829 ,327707
24 ,82117
,279197 24
Y2 X2
X3 X5b
Mean Std. Deviation
N
Universitas Kristen Maranatha
Correlations
1,000 ,417
,295 ,900
,417 1,000
,208 ,429
,295 ,208
1,000 ,326
,900 ,429
,326 1,000
. ,021
,081 ,000
,021 .
,164 ,018
,081 ,164
. ,060
,000 ,018
,060 .
24 24
24 24
24 24
24 24
24 24
24 24
24 24
24 24
Y2 X2
X3 X5b
Y2 X2
X3 X5b
Y2 X2
X3 X5b
Pearson Correlation
Sig. 1-tailed
N Y2
X2 X3
X5b
Variables EnteredRemoved
b
X5b, X3, X2
a
. Enter
Model 1
Variables Entered
Variables Removed
Method All requested variables entered.
a. Dependent Variable: Y2
b.
Model Summary
b
,900
a
,810 ,782
,177169 Model
1 R
R Square Adjusted
R Square Std. Error of
the Estimate Predictors: Constant, X5b, X3, X2
a. Dependent Variable: Y2
b.
ANOVA
b
2,681 3
,894 28,474
,000
a
,628 20
,031 3,309
23 Regression
Residual Total
Model 1
Sum of Squares
df Mean Square
F Sig.
Predictors: Constant, X5b, X3, X2 a.
Dependent Variable: Y2 b.
Universitas Kristen Maranatha
Coefficients
a
-,056 ,263
-,214 ,833
,052 ,151
,037 ,344
,735 -,001
,120 -,001
-,006 ,995
1,201 ,152
,884 7,896
,000 Constant
X2 X3
X5b Model
1 B
Std. Error Unstandardized
Coefficients Beta
Standardized Coefficients
t Sig.
Dependent Variable: Y2 a.
Regression Standardized Predicted Value
2 1
-1 -2
Y2
1.500 1.250
1.000 0.750
0.500 0.250
Scatterplot
Dependent Variable: Y2
R Sq Linear = 0.81
5. VARIABEL BEBAS : X2, X5b REGRESSION
Universitas Kristen Maranatha
Descriptive Statistics
1,01292 ,379305
24 1,62621
,272098 24
,82117 ,279197
24 Y2
X2 X5b
Mean Std. Deviation
N
Correlations
1,000 ,417
,900 ,417
1,000 ,429
,900 ,429
1,000 .
,021 ,000
,021 .
,018 ,000
,018 .
24 24
24 24
24 24
24 24
24 Y2
X2 X5b
Y2 X2
X5b Y2
X2 X5b
Pearson Correlation
Sig. 1-tailed
N Y2
X2 X5b
Variables EnteredRemoved
b
X5b, X2
a
. Enter
Model 1
Variables Entered
Variables Removed
Method All requested variables entered.
a. Dependent Variable: Y2
b.
Model Summary
b
,900
a
,810 ,792
,172900 Model
1 R
R Square Adjusted
R Square Std. Error of
the Estimate Predictors: Constant, X5b, X2
a. Dependent Variable: Y2
b.
ANOVA
b
2,681 2
1,341 44,846
,000
a
,628 21
,030 3,309
23 Regression
Residual Total
Model 1
Sum of Squares
df Mean Square
F Sig.
Predictors: Constant, X5b, X2 a.
Dependent Variable: Y2 b.
Universitas Kristen Maranatha
Coefficients
a
-,057 ,219
-,261 ,797
,052 ,147
,037 ,353
,728 1,200
,143 ,884
8,396 ,000
Constant X2
X5b Model
1 B
Std. Error Unstandardized
Coefficients Beta
Standardized Coefficients
t Sig.
Dependent Variable: Y2 a.
Regression Standardized Predicted Value
2 1
-1 -2
Y2
1.500 1.250
1.000 0.750
0.500 0.250
Scatterplot Dependent Variable: Y2
R Sq Linear = 0.81
Universitas Kristen Maranatha
6. VARIABEL BEBAS : X5b REGRESSION