Your trial period for SPSS for Windows will expire in 14 days.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X
/CASEWISE PLOT(ZRESID) OUTLIERS(3).
Regression
Notes
Output Created
21-Jun-2019 11:41:26
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X
/CASEWISE PLOT(ZRESID)
OUTLIERS(3).
Resources
Processor Time
00:00:00.125
Elapsed Time
00:00:00.062
Memory Required
Additional Memory Required
for Residual Plots
[DataSet0]
1388 bytes
0 bytes
Variables Entered/Removedb
Variables
Model
Variables Entered
1
PROMOSIa
Removed
Method
. Enter
a. All requested variables entered.
b. Dependent Variable: PEMBELIAN
Model Summaryb
Model
R
Std. Error of the
Square
Estimate
R Square
.023a
1
Adjusted R
.001
-.030
258.730
a. Predictors: (Constant), PROMOSI
b. Dependent Variable: PEMBELIAN
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
1187.475
1
1187.475
Residual
2209066.525
33
66941.410
Total
2210254.000
34
F
Sig.
.018
.895a
a. Predictors: (Constant), PROMOSI
b. Dependent Variable: PEMBELIAN
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
525.865
101.066
PROMOSI
.018
.136
a. Dependent Variable: PEMBELIAN
Residuals Statisticsa
Coefficients
Beta
t
.023
Sig.
5.203
.000
.133
.895
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
528.39
561.97
538.00
5.910
35
-465.685
471.608
.000
254.897
35
Std. Predicted Value
-1.626
4.057
.000
1.000
35
Std. Residual
-1.800
1.823
.000
.985
35
Residual
a. Dependent Variable: PEMBELIAN
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/CASEWISE PLOT(ZRESID) OUTLIERS(3).
Regression
Notes
Output Created
21-Jun-2019 11:41:47
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/CASEWISE PLOT(ZRESID)
OUTLIERS(3).
Resources
Processor Time
00:00:00.219
Elapsed Time
00:00:00.077
Memory Required
1948 bytes
Additional Memory Required
0 bytes
for Residual Plots
[DataSet0]
Variables Entered/Removedb
Variables
Model
Variables Entered
1
KUALITAS
Removed
PRODUK,
Method
. Enter
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: PEMBELIAN
Model Summaryb
Model
R
R Square
.133a
1
Adjusted R
Std. Error of the
Square
Estimate
.018
-.077
264.650
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
39033.375
3
13011.125
Residual
2171220.625
31
70039.375
Total
2210254.000
34
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
Coefficientsa
F
Sig.
.186
.905a
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
403.810
196.227
PROMOSI
.036
.141
4.309E-6
1.639
HARGA
KUALITAS PRODUK
t
Sig.
2.058
.048
.046
.256
.800
.000
.005
.028
.978
2.252
.132
.728
.472
a. Dependent Variable: PEMBELIAN
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
475.54
582.91
538.00
33.883
35
-441.720
468.883
.000
252.704
35
Std. Predicted Value
-1.843
1.326
.000
1.000
35
Std. Residual
-1.669
1.772
.000
.955
35
Residual
a. Dependent Variable: PEMBELIAN
EXAMINE VARIABLES=X X2 X3 Y
/PLOT BOXPLOT HISTOGRAM NPPLOT
/COMPARE GROUP
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Explore
Notes
Output Created
21-Jun-2019 11:42:48
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
File
35
Missing Value Handling
Definition of Missing
User-defined missing values for
dependent variables are treated as
missing.
Cases Used
Statistics are based on cases with no
missing values for any dependent
variable or factor used.
Syntax
EXAMINE VARIABLES=X X2 X3 Y
/PLOT BOXPLOT HISTOGRAM
NPPLOT
/COMPARE GROUP
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.
Resources
Processor Time
00:00:21.965
Elapsed Time
00:00:16.583
[DataSet0]
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
PROMOSI
35
100.0%
0
.0%
35
100.0%
HARGA
35
100.0%
0
.0%
35
100.0%
KUALITAS PRODUK
35
100.0%
0
.0%
35
100.0%
PEMBELIAN
35
100.0%
0
.0%
35
100.0%
Descriptives
Statistic
PROMOSI
Mean
95% Confidence Interval for
Mean
672.14
Lower Bound
559.70
Upper Bound
784.58
5% Trimmed Mean
651.06
Median
600.00
Std. Error
55.328
Variance
1.071E5
Std. Deviation
327.328
Minimum
140
Maximum
2000
Range
1860
Interquartile Range
HARGA
400
Skewness
1.808
.398
Kurtosis
6.991
.778
2.82E5
5.055E4
Mean
95% Confidence Interval for
Lower Bound
1.79E5
Mean
Upper Bound
3.85E5
5% Trimmed Mean
2.61E5
Median
9.00E4
Variance
8.944E10
Std. Deviation
2.991E5
Minimum
14500
Maximum
950000
Range
935500
Interquartile Range
511000
Skewness
KUALITAS PRODUK
.959
.398
Kurtosis
-.688
.778
Mean
66.34
3.479
95% Confidence Interval for
Lower Bound
59.27
Mean
Upper Bound
73.41
5% Trimmed Mean
66.57
Median
76.00
Variance
Std. Deviation
20.584
Minimum
34
Maximum
95
Range
61
Interquartile Range
36
Skewness
PEMBELIAN
423.703
-.202
.398
Kurtosis
-1.487
.778
Mean
538.00
43.097
95% Confidence Interval for
Lower Bound
450.42
Mean
Upper Bound
625.58
5% Trimmed Mean
538.56
Median
500.00
Variance
6.501E4
Std. Deviation
254.966
Minimum
78
Maximum
1000
Range
922
Interquartile Range
416
Skewness
-.087
.398
Kurtosis
-.912
.778
Tests of Normality
Kolmogorov-Smirnova
Statistic
df
Shapiro-Wilk
Sig.
Statistic
df
Sig.
PROMOSI
.130
35
.145
.855
35
.000
HARGA
.328
35
.000
.762
35
.000
KUALITAS PRODUK
.195
35
.002
.901
35
.004
PEMBELIAN
.083
35
.200*
.971
35
.469
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
PROMOSI
HARGA
KUALITAS PRODUK
PEMBELIAN
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/RESIDUALS DURBIN.
Regression
Notes
Output Created
21-Jun-2019 11:43:27
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/RESIDUALS DURBIN.
Resources
Processor Time
00:00:00.234
Elapsed Time
00:00:00.110
Memory Required
1948 bytes
Additional Memory Required
0 bytes
for Residual Plots
[DataSet0]
Variables Entered/Removedb
Variables
Model
Variables Entered
1
KUALITAS
Removed
PRODUK,
Method
. Enter
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: PEMBELIAN
Model Summaryb
Model
1
R
R Square
.133a
.018
Adjusted R
Std. Error of the
Square
Estimate
-.077
264.650
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
Durbin-Watson
1.419
Model Summaryb
Model
R
R Square
.133a
1
Adjusted R
Std. Error of the
Square
Estimate
.018
-.077
Durbin-Watson
264.650
1.419
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
39033.375
3
13011.125
Residual
2171220.625
31
70039.375
Total
2210254.000
34
F
Sig.
.905a
.186
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
403.810
196.227
PROMOSI
.036
.141
4.309E-6
1.639
HARGA
KUALITAS PRODUK
t
Sig.
2.058
.048
.046
.256
.800
.000
.005
.028
.978
2.252
.132
.728
.472
a. Dependent Variable: PEMBELIAN
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
475.54
582.91
538.00
33.883
35
-441.720
468.883
.000
252.704
35
Std. Predicted Value
-1.843
1.326
.000
1.000
35
Std. Residual
-1.669
1.772
.000
.955
35
Residual
a. Dependent Variable: PEMBELIAN
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3.
Regression
Notes
Output Created
21-Jun-2019 11:44:16
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R
ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3.
Resources
Processor Time
00:00:00.141
Elapsed Time
00:00:00.048
Memory Required
Additional Memory Required
for Residual Plots
[DataSet0]
Variables Entered/Removedb
1940 bytes
0 bytes
Variables
Model
Variables Entered
1
KUALITAS
Removed
Method
PRODUK,
. Enter
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: PEMBELIAN
Model Summary
Model
R
R Square
.133a
1
Adjusted R
Std. Error of the
Square
Estimate
.018
-.077
264.650
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
39033.375
3
13011.125
Residual
2171220.625
31
70039.375
Total
2210254.000
34
F
Sig.
.905a
.186
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
403.810
196.227
PROMOSI
.036
.141
4.309E-6
1.639
HARGA
KUALITAS PRODUK
a. Dependent Variable: PEMBELIAN
Coefficients
Beta
Collinearity Statistics
t
Sig.
Tolerance
VIF
2.058
.048
.046
.256
.800
.966
1.035
.000
.005
.028
.978
.988
1.012
2.252
.132
.728
.472
.958
1.043
Coefficient Correlationsa
KUALITAS
Model
1
PRODUK
Correlations
PROMOSI
KUALITAS PRODUK
1.000
-.104
.181
HARGA
-.104
1.000
-.057
.181
-.057
1.000
5.073
-3.571E-5
.058
-3.571E-5
2.332E-8
-1.232E-6
.058
-1.232E-6
.020
PROMOSI
Covariances
HARGA
KUALITAS PRODUK
HARGA
PROMOSI
a. Dependent Variable: PEMBELIAN
Collinearity Diagnosticsa
Variance Proportions
Dimensi
KUALITAS
Model
on
Eigenvalue
Condition Index
(Constant)
PROMOSI
HARGA
PRODUK
1
1
3.367
1.000
.00
.01
.03
.01
2
.434
2.786
.01
.04
.95
.01
3
.166
4.505
.01
.65
.02
.18
4
.033
10.098
.98
.30
.00
.81
a. Dependent Variable: PEMBELIAN
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/SAVE RESID.
Regression
Notes
Output Created
21-Jun-2019 11:46:24
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R
ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X X2 X3
/SAVE RESID.
Resources
Processor Time
00:00:00.109
Elapsed Time
00:00:00.061
Memory Required
1948 bytes
Additional Memory Required
0 bytes
for Residual Plots
Variables Created or Modified RES_1
Unstandardized Residual
[DataSet0]
Variables Entered/Removedb
Variables
Model
Variables Entered
1
KUALITAS
Removed
PRODUK,
Method
. Enter
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: PEMBELIAN
Model Summaryb
Model
R
R Square
.133a
1
Adjusted R
Std. Error of the
Square
Estimate
.018
-.077
264.650
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
F
39033.375
3
13011.125
Residual
2171220.625
31
70039.375
Total
2210254.000
34
Sig.
.905a
.186
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: PEMBELIAN
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
403.810
196.227
PROMOSI
.036
.141
4.309E-6
1.639
HARGA
KUALITAS PRODUK
Collinearity Statistics
t
Sig.
.048
.046
.256
.800
.966
1.035
.000
.005
.028
.978
.988
1.012
2.252
.132
.728
.472
.958
1.043
Coefficient Correlationsa
KUALITAS
1
PRODUK
Correlations
Covariances
HARGA
PROMOSI
KUALITAS PRODUK
1.000
-.104
.181
HARGA
-.104
1.000
-.057
.181
-.057
1.000
5.073
-3.571E-5
.058
-3.571E-5
2.332E-8
-1.232E-6
PROMOSI
KUALITAS PRODUK
HARGA
VIF
2.058
a. Dependent Variable: PEMBELIAN
Model
Tolerance
PROMOSI
.058
-1.232E-6
.020
a. Dependent Variable: PEMBELIAN
Collinearity Diagnosticsa
Variance Proportions
Dimensi
KUALITAS
Model
on
Eigenvalue
Condition Index
(Constant)
PROMOSI
HARGA
PRODUK
1
1
3.367
1.000
.00
.01
.03
.01
2
.434
2.786
.01
.04
.95
.01
3
.166
4.505
.01
.65
.02
.18
4
.033
10.098
.98
.30
.00
.81
a. Dependent Variable: PEMBELIAN
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
475.54
582.91
538.00
33.883
35
-441.720
468.883
.000
252.704
35
Std. Predicted Value
-1.843
1.326
.000
1.000
35
Std. Residual
-1.669
1.772
.000
.955
35
Residual
a. Dependent Variable: PEMBELIAN
COMPUTE RES1=ABS_RES(RES_1).
EXECUTE.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT RES1
/METHOD=ENTER X X2 X3
/SAVE RESID.
Regression
Notes
Output Created
21-Jun-2019 11:48:47
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R
ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT RES1
/METHOD=ENTER X X2 X3
/SAVE RESID.
Resources
Processor Time
00:00:00.187
Elapsed Time
00:00:00.110
Memory Required
1988 bytes
Additional Memory Required
0 bytes
for Residual Plots
Variables Created or Modified RES_2
Unstandardized Residual
[DataSet0]
Variables Entered/Removedb
Variables
Model
Variables Entered
1
KUALITAS
Removed
PRODUK,
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: RES1
Method
. Enter
Model Summaryb
Model
R
R Square
.359a
1
Adjusted R
Std. Error of the
Square
Estimate
.129
.045
125.87675
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: RES1
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
F
72697.557
3
24232.519
Residual
491193.664
31
15844.957
Total
563891.221
34
Sig.
.226a
1.529
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: RES1
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
378.413
93.332
PROMOSI
-.054
.067
5.598E-5
-2.168
HARGA
KUALITAS PRODUK
Collinearity Statistics
t
Sig.
.000
-.136
-.800
.430
.966
1.035
.000
.130
.771
.447
.988
1.012
1.071
-.346
-2.024
.052
.958
1.043
Coefficient Correlationsa
KUALITAS
1
PRODUK
Correlations
Covariances
HARGA
PROMOSI
KUALITAS PRODUK
1.000
-.104
.181
HARGA
-.104
1.000
-.057
.181
-.057
1.000
1.148
-8.079E-6
.013
PROMOSI
KUALITAS PRODUK
VIF
4.054
a. Dependent Variable: RES1
Model
Tolerance
HARGA
-8.079E-6
5.275E-9
-2.786E-7
.013
-2.786E-7
.005
PROMOSI
a. Dependent Variable: RES1
Collinearity Diagnosticsa
Variance Proportions
Dimensi
KUALITAS
Model
on
Eigenvalue
Condition Index
(Constant)
PROMOSI
HARGA
PRODUK
1
1
3.367
1.000
.00
.01
.03
.01
2
.434
2.786
.01
.04
.95
.01
3
.166
4.505
.01
.65
.02
.18
4
.033
10.098
.98
.30
.00
.81
a. Dependent Variable: RES1
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
135.6259
294.0979
2.1430E2
46.24028
35
-2.16319E2
2.56810E2
.00000
120.19514
35
Std. Predicted Value
-1.701
1.726
.000
1.000
35
Std. Residual
-1.719
2.040
.000
.955
35
Residual
a. Dependent Variable: RES1
COMPUTE RES2=ABS_RES(RES_2).
EXECUTE.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT RES2
/METHOD=ENTER X X2 X3
/SAVE RESID.
Regression
Notes
Output Created
Comments
21-Jun-2019 11:50:13
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on cases with no
missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT RES2
/METHOD=ENTER X X2 X3
/SAVE RESID.
Resources
Processor Time
00:00:00.078
Elapsed Time
00:00:00.046
Memory Required
2028 bytes
Additional Memory Required
0 bytes
for Residual Plots
Variables Created or Modified RES_3
Unstandardized Residual
[DataSet0]
Variables Entered/Removedb
Variables
Model
Variables Entered
1
KUALITAS
Removed
PRODUK,
HARGA,
PROMOSIa
a. All requested variables entered.
b. Dependent Variable: RES2
Method
. Enter
Model Summaryb
Model
R
R Square
.397a
1
Adjusted R
Std. Error of the
Square
Estimate
.158
.076
63.06575
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: RES2
ANOVAb
Model
1
Sum of Squares
Regression
df
Mean Square
F
23071.163
3
7690.388
Residual
123295.936
31
3977.288
Total
146367.099
34
Sig.
.145a
1.934
a. Predictors: (Constant), KUALITAS PRODUK, HARGA, PROMOSI
b. Dependent Variable: RES2
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
Beta
(Constant)
153.038
46.761
PROMOSI
-.056
.034
6.352E-5
-.508
HARGA
KUALITAS PRODUK
t
Sig.
3.273
.003
-.282
-1.680
.103
.000
.290
1.746
.091
.537
-.159
-.947
.351
a. Dependent Variable: RES2
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
13.2368
148.4572
99.2582
26.04925
35
-7.96276E1
1.46436E2
.00000
60.21919
35
Std. Predicted Value
-3.302
1.889
.000
1.000
35
Std. Residual
-1.263
2.322
.000
.955
35
Residual
a. Dependent Variable: RES2
COMPUTE RES3=ABS_RES(RES_3).
EXECUTE.
NEW FILE.
DATASET NAME DataSet1 WINDOW=FRONT.
FACTOR
/VARIABLES X X2 X3 Y
/MISSING LISTWISE
/ANALYSIS X X2 X3 Y
/PRINT INITIAL KMO EXTRACTION
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/ROTATION NOROTATE
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created
21-Jun-2019 12:01:12
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
MISSING=EXCLUDE: User-defined
missing values are treated as missing.
Cases Used
LISTWISE: Statistics are based on cases
with no missing values for any variable
used.
Syntax
FACTOR
/VARIABLES X X2 X3 Y
/MISSING LISTWISE
/ANALYSIS X X2 X3 Y
/PRINT INITIAL KMO EXTRACTION
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PC
/ROTATION NOROTATE
/METHOD=CORRELATION.
Resources
Processor Time
00:00:00.093
Elapsed Time
00:00:00.062
Maximum Memory Required
2872 (2,805K) bytes
[DataSet0]
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Bartlett's Test of Sphericity
.465
Approx. Chi-Square
1.967
df
6
Sig.
.923
Communalities
Initial
Extraction
PROMOSI
1.000
.754
HARGA
1.000
.467
KUALITAS PRODUK
1.000
.652
PEMBELIAN
1.000
.403
Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial Eigenvalues
Compon
ent
Total
% of Variance
Extraction Sums of Squared Loadings
Cumulative %
Total
% of Variance
Cumulative %
1
1.220
30.500
30.500
1.220
30.500
30.500
2
1.056
26.388
56.888
1.056
26.388
56.888
3
.978
24.454
81.342
4
.746
18.658
100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component
1
PROMOSI
2
-.551
.671
HARGA
.289
.619
KUALITAS PRODUK
.808
-.012
PEMBELIAN
.425
.471
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
RELIABILITY
/VARIABLES=X X2 X3 Y
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE
/SUMMARY=TOTAL.
Reliability
Notes
Output Created
21-Jun-2019 12:02:37
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Matrix Input
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics are based on all cases with
valid data for all variables in the
procedure.
Syntax
RELIABILITY
/VARIABLES=X X2 X3 Y
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE
/SUMMARY=TOTAL.
Resources
[DataSet0]
Processor Time
00:00:00.062
Elapsed Time
00:00:00.031
Scale: ALL VARIABLES
Case Processing Summary
N
Cases
%
Valid
Excludeda
Total
35
100.0
0
.0
35
100.0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's Alpha
N of Items
.000
4
Item Statistics
Mean
Std. Deviation
N
PROMOSI
672.14
327.328
35
HARGA
2.82E5
299071.913
35
66.34
20.584
35
538.00
254.966
35
KUALITAS PRODUK
PEMBELIAN
Item-Total Statistics
Corrected
PROMOSI
Scale Mean if
Scale Variance if
Item-Total
Cronbach's Alpha
Item Deleted
Item Deleted
Correlation
if Item Deleted
282478.63
8.945E10
.039
6.947E-5
1276.49
175374.610
.047
.024
KUALITAS PRODUK
283084.43
8.945E10
.095
.000
PEMBELIAN
282612.77
8.945E10
.020
.000
HARGA
Scale Statistics
Mean
Variance
Std. Deviation
N of Items
Scale Statistics
Mean
Variance
2.83E5
Std. Deviation
8.946E10
N of Items
299091.964
4
CORRELATIONS
/VARIABLES=X X2 X3 Y
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created
21-Jun-2019 12:05:43
Comments
Input
Active Dataset
DataSet0
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
35
File
Missing Value Handling
Definition of Missing
User-defined missing values are treated
as missing.
Cases Used
Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax
CORRELATIONS
/VARIABLES=X X2 X3 Y
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources
Processor Time
00:00:00.047
Elapsed Time
00:00:00.031
[DataSet0]
Correlations
KUALITAS
PROMOSI
HARGA
PRODUK
PEMBELIAN
PROMOSI
Pearson Correlation
1
.039
-.176
.023
.823
.311
.895
35
35
35
35
Pearson Correlation
.039
1
.095
.019
Sig. (2-tailed)
.823
.586
.912
Sig. (2-tailed)
N
HARGA
N
KUALITAS PRODUK
35
35
35
35
-.176
.095
1
.125
.311
.586
35
35
35
35
Pearson Correlation
.023
.019
.125
1
Sig. (2-tailed)
.895
.912
.476
35
35
35
Pearson Correlation
Sig. (2-tailed)
N
PEMBELIAN
N
.476
35