47
research, the writer tends to use computerized calculation by utilizing SPSS 16.
1. Pre-requirement test
There are major prerequisite tests for the data to enter linear regression analysis:
a. Normality Test
Normality test is one of the prerequisite tests before entering linear regression analysis, that is used to know whether the dependent variables are
normally distributed or not. To check the normalitytest of the dependent variable, it can be done by using SPSS 16. The normality can be seen from
p
significance on Lilliefors test. If
p
significance value is greater than 0.05
p
0.05, it tells that the distribution of the data is normal.
b. The Linearity of Regression and the Significance of Regression
The Linearity test is aimed to know whether two variables have significant linear regression or not. This test becomes the major prerequisite for the data
to entering linear regression analysis. In SPSS, the linearity can be known by using Anova
Test for Linearity
on the significance value
p
= 0.05. Two variables can be linear if
p
0.05.
2. Hypothesis Test
The study was conducted to test the hypothesis. To test the hypothesis, the writer usedthe Simple Linear Regression analysis. The statistical hypothesis
can be determined as follows:
48
H
o :
There is no positive correlation between vocabulary mastery and reading comprehension.
H
a
: There is a positive correlation between vocabulary mastery and reading comprehension.
To test the hypothesis, the writer uses the simple correlation technique using the product moment formula, computerize by utilizing SPSS 16.
The value of r
xy
, then is compared with product-moment table r
t
at the level of significance 5 and N= the number of respondent. If r
xy
is greater than r
t
r
xy
r
t
, it means that H
o
is rejected and therefore H
a
is accepted. Table 2.The Interpretation of r Value
R value Interpretation
0.800 – 1.00
0.600 – 0.79
0.400 – 0.599
0.200 – 0.399
0.000 – 0.199
very strong strong
medium low
verylow nocorrelation
Source: Sugiyono, 2010:184 In this research, multiple linear regressionis computerized by using SPSS
16. Then, to know whether the value of r
xy
is significant or not, the regression analysis
F-test
is done to find the F value. If the value of F is lower than 0.05 F 0.05, it means that r is significant.
Kategori