70 From the Graphic 4.2 above, shows that symmetric histogram did not skew to left
or right side. And graphic 4.3 shows the plot of normality plots spreading around diagonal and it mean has normal distribution. According to autocorrelation,
multicolliearity, heterokedastisity and normality test, it has fulfilled the requirement to continue to regression test.
D. Multiple Linear Regressions
1. Correlations
Table 4.14
Correlations
Product perception
Shopping experience
Customer service
The influence on
consumer decision
Product perception Pearson
Correlation 1
.374 .151
.112 Sig. 1-tailed
.000 .066
.133 N
100 100
100 100
Shopping experience Pearson
Correlation .374
1 .167
.445 Sig. 1-tailed
.000 .049
.000 N
100 100
100 100
Customer service Pearson
Correlation .151
.167 1
.186 Sig. 1-tailed
.066 .049
.032 N
100 100
100 100
The influence on consumer decision
Pearson Correlation
.112 .445
.186 1
Sig. 1-tailed .133
.000 .032
N 100
100 100
100 Correlation is significant at the 0.01 level 1-tailed.
Correlation is significant at the 0.05 level 1-tailed.
71 The correlation value of influence of consumer decision toward product
perception is 0.112 the correlation value of the influence of consumer decision toward shopping experience is 0.445, the correlation value of the influence of
consumer decision toward customer service is 0.186. The correlation product perception toward shopping experience is 0.374, the correlation product
perception toward customer service is 0.151.That’s all using significant at 0.01.
Table 4.15
Result of Multiple Regressions
Unstandardized Coefficients
Model B
Std. Error Constant
20.223 4.965
Product Perception
.081 .099
Shopping Experience
.409 .080
1
Customer Service
.122 .078
a. Dependent Variable: The influence of consumer decision on online shopping
72 According to the table 4.16 above obtained the similarities of linear regression as
follows:
Y= 20.223+0.81X
1
+0.409X
2
+0.122X
3
+
Where: Y = the influence of consumer decision on online shopping
X
1
= Product Perception X
2
= Shopping Experience X
3
= Customer Service
From the result above will be interpreted if variable product perception X
1
, Variable shopping experience X
2
, and customer service X
3
is constant, therefore influence of consumer decision on online shopping Y amount is 20.223
The coefficient regression amount of product perception is .081 it shows, product perception variable raise 1 unit hence influence of consumer decision on online
shopping Y will increase .081. There is no coefficient regression of product perception X
1
to form the influence of consumer decision on online shopping Y.
73 The coefficient regression amount of shopping experience is .409 it shows,
shopping experience variable raise 1 unit hence influence of consumer decision on online shopping Y will increase .409. Because has positive effect, it means there is
coefficient regression of shopping experience X
2
to form the influence of consumer decision on online shopping Y.
The coefficient regression amount of customer service is .122 it shows, customer service variable raise 1 unit hence influence of consumer decision on online shopping
Y will increase .122. There is coefficient regression of customer service X
3
to form the influence of consumer decision on online shopping Y.
2. Coefficient Determination R²
