4.3.3 The correlations between the mastery of grammar and the oral presentation of medical record in English by nursing students
The correlation between the mastery of grammar and the oral presentation shows the value of correlation coefficient r = 0.854 r – table
0.291n = 46 see table 4.10. It means that there is high correlation between the mastery of grammar and oral presentation of medical record
in English by nursing students. The result of the statistical test of correlation between the mastery
of sentence stress, grammar and oral presentation shows there is high significant correlation or positive correlation.
4.3.4 Regression Analysis
It used multiple regression analysis for getting the significant correlation of the mastery of sentence stress, grammar and the oral
presentation of medical record in English by the nursing students. The formula is as the following:
RX
1
X
2
y = √ r
2
X
1
Y + r
2
X
2
Y – 2 r X
1
Y. r X
2
Y.r X
1
X
2
1- 2r
2
X
1
X
2
Where r X
1
Y = correlation between criterion Y and predictor X
1
r X
2
Y = correlation between criterion Y and predictor X
2
r X
1
X
2
= correlation between predictor X
1
and X
2
Ý = a + b
1
X
1
+ b
2
X
2
Where a = Y intercept b
1
= slope of the line formed by the interaction of the regression plane and the plane formed by X
1
and Y b
2
= slope of the line formed by the interaction of the regression plane and the plane formed by X
2
and Y
Table 4.11 Model Summary
The result of multiple correlation analysis X
1
and X
2
to Y
a Predictors: constant, the mastery of grammar and sentence stress b. Dependent variable: oral presentation
In proving the hypothesis Ha that “There is any significant correlation between the mastery of sentence stress and grammar and the
oral presentation of medical record in English by nursing students”. The F value is more than F table. Table 4.11 shows there is significant
influence of the mastery of sentence stress and grammar on the oral presentation of medical record by nursing students because F value is more
than F table. The F table for N = 46 is 3, 20 and F value is 94,853, so it Model
R R
Square Adjusted
R Square Std. Error
of the Estimate
Change Statistics R Square
Change F
Change df1
df2 Sig. F
Change 1
.903a .815
.807 6.30198
.815 94.853
2 43
.000
accepts the hypothesis Ha and rejects the Ho.In other words, all independent variables combined have effect on the dependent variable.
Table 4.12 ANOVA
Significant test
Model Sum of
Squares df Mean
Square F
Sig. 1 Regression
7534,191 2 3767,095 94,853
,000 Residual 1707,744
43 39,715 Total 9241,935
45 a Predictors: Constant, The mastery of grammar and sentence stress
b Dependent Variable: Oral presentation
Table 4.13 Multiple regressions analysis X1, and X2 to Y
Coefficients
Model Unstandardized
Coefficients Standardized
Coefficients t
Sig. Correlations
B Std.
Error Beta
Zero- order
Partial Part
1 Constant
-10.016 11.083
-.904 .371
S.STRESS 2.010
.452 .519
4.450 .000
.871 .562
.292 GRAMMAR
.855 .234
.426 3.651
.001 .854
.486 .239
a. Dependent Variable: oral performance
Fig 1
Fig 2
4.4 The Interpretation of Hypothesis Test Result
