According to Calton, the power of two variables relationship can be divided into 4 areas:
r = 0.00 – 0.25 noweak correlation
r = 0.26 – 0.50 moderate correlation
r = 0.51 – 0.75 strong correlation
r = 0.76 – 1.00 very strongperfect correlation
45
Furthermore, Pearson’s r correlation coefficients in this study can be analyzed as
follows:
Table 3.7 Correlations
GRAM TRANS
GRAM Pearson Correlation 1
.562 Sig. 2-tailed
.001 N
30 30
TRANS Pearson Correlation .562
1 Sig. 2-tailed
.001 N
30 30
. Correlation is significant at the 0.01 level 2-tailed.
C. The Interpretation of Data
Because the data have to fulfill the pre requirement test, the writer will interpret the hypothesis from the output of simple linear regression analysis and
Pearson’s r correlation coefficients analysis. In model summary table, students can see that the value of Adjusted R
Square is 0.291, it means 29,1 of variance in translating ability is explained by independent variable grammatical ability. The next output box is labeled Anova
45
Sutanto Priyo. Analisis Data Kesehatan. Depok: FKM UI, 2007, p.130
see table 3.5. In Anova, the F-test value is 12.897 with significance level or p- value at 0.001. Because the p-value is below 0.05, it can be concluded that the
regression model is linear. The independent variable X is influential against dependent variable Y. In other words, the linear regression model can be used to
predict Y translating skill. The next table gives b coefficients table 3.6, the value that Y will change by if X changes by 1 unit. The basic regression equation
is:
Y = a + bX Translating skill Y = 38.514 + 0.421grammatical ability. From the
equation, translating skill can be estimated if there is value of grammatical ability. Then, because the value of b coefficients in X grammatical ability is positive
0.421, so if X goes up by one, Y is predicted to go up by 0.421. In sig T column, p-value is 0.001. It implies that in alpha 5, Ho is rejected. Thus, with 95 level
of confidence, the grammatical ability is convinced to influence translating skill significantly.
Then, in table 3.7, the actual Pearson ’s r correlation coefficient is 0.562.
This means that there is strong correlation between grammatical ability and translating skill, and as there is no minus sign preceding the coefficient, the
correlation is positive. In other words, students who score high in grammar will tend to score high in translation. Therefore, the relationship of two variables is
linear. The next piece of information given is the significance level or p-value. Here, the significance level is given as 0.001.
The next step to test the hypothesis is by using t-test formula.
Df = N – 2
Note: Df = Degree of freedom
N = Number of cases The result of calculation obtained the value of the r
xy
is 0.562. The degree of freedom df is 30
– 2 = 28. In the table of significance of 5 appendix 10, it is obtained 0.361. After comparing the value of r
xy
= 0.562 and r
t
= 0.361, the writer eventually made the assumption of the hypothesis that r
xy
is bigger than r
t
or 0.562 0.361. The test of hypothesis:
r
xy
r
t
: There is a significant correlation, Ha is accepted and Ho is rejected. r
xy
r
t
: There is no significant correlation, Ha is rejected and Ho is accepted. The result of hypothesis is r
xy
is bigger than r
t
. Therefore, the alternative hypothesis is accepted and the null hypothesis is rejected. It means that there is
significant correlation between grammatical ability and translating skill. Moreover, the grammatical ability contributes significantly to the translating skill.
CHAPTER IV CONCLUSION AND SUGGESTION
A. Conclusion
Based on the research findings, the writer concludes that the alternative hypothesis Ha is accepted and the null hypothesis Ho is rejected. It can be seen
from the result of r
xy
is 0.562 with the degree of freedom df is 28. The result of r
t
on the degree of significance of 5 is 0.361. So, r
xy
is bigger than r
t
0.562 0.361. The calculation means that there is significant correlation between
grammatical ability and translating skill. Then, the correlation is positive because there is no minus. Moreover, the value of 0.562 indicates strong relationship
between two variables. The regression equation of Y = 38.514 + 0.421grammatical ability shows that score of translation test can be predicted by
score of grammatical ability test. If X goes up by one, Y is predicted to go up by 0.421. It means that the grammatical ability contributes significantly to the
translating skill. According to the explanation above, it can be concluded that students of translation class at English letters Department, UIN Syarif
Hidayatullah Jakarta, will get high score in translation course if they have high score in grammar. Otherwise, students who have lower score in grammar, they
will get the lower score in their translation course.
