Based on the result above, it shows that the value of variable X 0.394 and variable Y 0.298 is higher than 0.05, so it can be concluded that these data
area normal. The result of the normality test can be seen in the appendix.
2 The Linearity Test
After computing normality test then the writer continued to analyze the linearity test. Thus, linearity test is used to know the relation between
dependent and independent variable. The variables have linearity based on these testing criteria:
A. If the value of sig significance 0.05. It means that the variable is linier. B. If the value of sig significance 0.05. It means that the variable is not
linier.
Table 4.3 Result of Linearity Test Variable
Sig Criteria
XY 0,212
Linear The result of linearity reading habit and reading comprehension test
above shows that result of significance value is 0,212. It means that the value is higher than significance 0.05. So it can be concluded that the variable X
and variable Y is linear. The result of reliability test can be seen in the appendix.
b. Statistical Testing
Based on the result of the first prerequisite test, it showed that the data from population above was well-modeled by normal distribution; the second
testing requirement is linearity test. It was found that the data is linear. And the last test was product moment calculation; this test is aimed to know the
relationship between students ’ reading habit variable X and their
comprehension Variable Y. Product moment correlation on Statistical Package for Social Science SPSS version 21 is used to find the relationship
between the two variables. After processing the data it showed a result R
xy
is 0.779
.
It can be concluded that the relationship between students’ reading
habit and reading comprehension was on high correlation. The result can be seen in the following table:
Table 4.4 Result of Correlation Product Moment
Reading Habit Reading
Comprehension s
Reading Habit Pearson Correlation
1
,779
Sig. 2-tailed ,000
N 40
40 Reading Comprehensions
Pearson Correlation ,779
1 Sig. 2-tailed
,000 N
40 40
Table 4.5 The Level of Correlation
1
Product Moment r Interpretation
0.00 0.20
0.20 0.40
0.40 0.70
0.70 0.90
0.90 1.00
Very low correlation Low correlation
Moderate correlation High correlation
Very high correlation
B. Data Interpretation
After the writer calculated the formula of product moment, it showed that the correlation index between students’ reading habit and their reading
comprehension score was on high correlation. The correlation index r
xy
is 0.779 is in the interval 0.70
– 0.90. It means that the relationship between students’ reading habit and their reading comprehension was on high correlation.
The result of calculation by applying SPSS version 21 described as follows. It obtained R
xy
= 0.779 than t
table
0.320. The degree of freedom df is 40 – 2
=38 in the table significant of 5 it is obtained 0.320. The assumption of hypothesis R
xy
is higher than r
t
R
xy
r
t ,
so the null hypothesis Ho is rejected and the alternative
1
Anas Sudjono, Pengantar Statistika Pendidikan, Jakarta: PT. Raja Grafindo Persada, 2004, p. 193.
