Normality Test Linearity Test
53
The analogy of the hypothesis formula above is that when the value of r
xy
is 0 or lower than 0, it means that there is no correlation. On the contrary, when the value of r
xy
is higher than 0, it means that there is positive correlation or it has correlation.
The null hypothesis will be rejected and the alternative hypothesis will be accepted if the value of r
xy
is higher than 0. Meanwhile, the alternative hypothesis will be rejected and the null hypothesis will be accepted if the value
of r
xy
is lower or the same as 0.
Hypothesis Testing
Since the computation of normality and linearity testing shows that the data are in normal distribution and the regression is linear and significant, the
writer can continue to test the hypotheses, and the hypothesis that will be tested is H
o
saying that there is no positive correlation between vocabulary mastery X and reading comprehension Y; against the alternative hypothesis H
a
saying that there is positive correlation between vocabulary mastery X and reading comprehension Y.
Based on the hypothesis testing, the summary of of the test result can be seen as follow.
Table 8. The Hypothesis Results
Test Variable
The result of computation
Table Data Criteria
Decision H
o
1. Equation of Linear
Regression XY
Ŷ = 35.144+ 0.572X
-- --
-- 2. The
significance of regression
XY F
count
= 14.603 F
table 0,05;1,28
= 4.19
F
count
F
table
Rejected 3. Coefficient of XY
r = 0.600 r
table N=28
= r
count
r
table
Rejected
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correlation 0.374
4. the significance of
correlational coefficient
XY t
count
= 3.821 t
table 0.05; N=28
= 1.701
t
count
t
table
Rejected
By using SPSS 16 with product moment correlational analysis, the result of computation above shows that the correlation coefficient r between
vocabulary mastery X and reading comprehension Y is 0.600; it is greater than r
table
at significance level 5 for N= 28; 0.374. So, it can be stated that the coefficient of correlation is significant.
Based on the analysis above, it can be stated that the null hypothesis H
o
is rejected and therefore the alternative hypothesis H
a
is accepted. The conclusion is that there is positive correlation between vocabulary mastery X
and reading comprehension Y. Furthermore, based on the interpretation of r value Sugiyono, 2010:184, the value of r for the correlation between
vocabulary mastery and reading comprehension is 0.600 that is included in the interval 0.600-0.79. It means that the correlation between vocabulary mastery
and reading comprehension is strong.