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between the variable. R square is the coefficient of determination where it is the square value correlation of coefficient R.
4.4.1 Simple Regression Analysis
Hypothesis Test 1
H : There is no significant relationship between green packaging and factor
of green purchase intention on green product H
1
: Green packaging has significant relationship with factor of green
purchase intention on green product.
Reject H0, if p0.05
Table 4.24: Simple Regression Result for Hypothesis 1
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Table 4.24 above indicates the simple linear regression analysis to test hypothesis 1. There is significant value if p value is less than 0.01. The result of p
value for regulation response is 0.357, thus indicating the value is not significant. The beta result is 0.075 and R value is 0.047. The value of R square is 0.002. From
the ANOVA table and coefficient table, the significant value is 0.357. This value is more than 0.05, thus it indicates that a green packaging is not significant with green
purchase intention. The researcher accepted the null hypothesis H0 and rejected the alternative hypothesis H1.
Hypothesis Test 2
H : There is no significant relationship between green product value and green
purchase intention on green product. H
2
: Green product value has significant relationship with factor of green purchase intention on green product.
Reject H0, if p0.05
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Table 4.25: Simple Regression Result for Hypothesis 2
Table 4.25 above indicates the simple linear regression analysis to test hypothesis 2. There is significant value if p value is less than 0.01. The result of p
value for regulation response is 0.00, thus indicating the value is significant. The beta result is 0.779 and R value is 0.860. The value of R square is 0.739. From the
ANOVA table and coefficient table, the significant value is 0.00. This value is less than 0.05, thus it indicates that a green product value is significant with green
purchase intention. The researcher rejected the null hypothesis H0 and accepted the alternative hypothesis H2.
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Hypothesis Test 3
H : There is no significant relationship between green advertisement and green
purchase intention on green product. H
2
: Green advertisement has significant relationship with factor of green purchase intention on green product.
Table 4.26: Simple Regression Result for Hypothesis 3
Table 4.26 above indicates the simple linear regression analysis to test hypothesis 3. There is significant value if p value is less than 0.01. The result of p
value for regulation response is 0.00, thus indicating the value is significant. The beta result is 0.765 and R value is 0.816. The value of R square is 0.666. From the
ANOVA table and coefficient table, the significant value is 0.00. This value is less than 0.05, thus it indicates that green advertisement is significant with green
purchase intention. The researcher rejected the null hypothesis H0 and accepted the alternative hypothesis H3.
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Hypothesis Test 4
H : There is no significant relationship between eco label product and green
purchase intention on green product. H
2
: Eco label product has significant relationship with factor of green purchase intention on green product.
Table 4.27: Simple Regression Result for Hypothesis 4
Table 4.27 above indicates the simple linear regression analysis to test hypothesis 4. There is significant value if p value is less than 0.01. The result of p
value for regulation response is 0.00, thus indicating the value is significant. The beta result is 1.002 and R value is 0.752. The value of R square is 0.565. From the
ANOVA table and coefficient table, the significant value is 0.00. This value is less
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than 0.05, thus it indicates that eco product label is significant with green purchase intention. The researcher rejected the null hypothesis H0 and accepted the
alternative hypothesis H4.
4.4.2 Multiple Regression Analysis
