CHAPTER 4
FINDING AND ANALYSIS

4.1 INTRODUCTION
This chapter presents the finding and data analysis for the study. The data has been analyzes using statistical package for social science (SPSS) software. The first part in this chapter will briefly explained on the data and its simple statistical result. The second part of this chapter want to examined the data to test how the independent variables that have been chosen to fit the model using R-square (R2). Next this chapter will examine the possible relationship between each independent variables using coefficient relationship with its dependent variables. Further in this chapter will discover the level of significant relationship between each independent variable using the T-statistics. Later, the result will be obtained on the combination of independent variables which can be used as predictors to the dependent variables using the F-statistics. The analysis on each part will help to answer the research questions asked by the researcher as well as answer the hypothesis in this study.

4.2 DESCRIPTIVE STATISTICS
A descriptive statistics is a brief description which tries to summarize a given data set. The data set are measures of central tendency for example mean, maximum and minimum value. Descriptive statistics provide a useful summary to the researcher to the given amount of data used in the research study.

4.2.1 BOSNIA HERZEGOVINA

Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ROA 25 -4.3700 8.4400 .616800 1.9654637
ROE 25 -41.9200 17.3000 3.904800E0 11.5150330
GDP 25 -.0588 .2426 .122388 .1104654
INF 25 -.4000 7.4000 3.640000E0 2.9258902
PS 25 25.9434 30.2885 2.775723E1 1.6981657
Valid N (listwise) 25
Table 4.1: Descriptive Statistics of BIH

The result generated from the sample size of the country BIH show that there is total of 25 data has been used for the research study. All variables were tapping on positive scale as can be seen in column number four with the highest value is represent by the variable PS (30.2885) and the lowest value is GDP (0.2426). The dependent variable, ROE show the highest value in mean at 3.904800E0 mean while GDP show the lowest value at 0.122388. The standard deviation of ROE is the highest (11.5150330) as to compare with the lowest value present by GDP (0.1104654).  

4.2.2 MALAYSIA

Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
ROA 25 .2400 1.6400 .975200 .3992610
ROE 25 3.1300 27.3500 1.386720E1 6.1843455
GDP 25 -.1295 .1924 .098377 .1210521
INF 25 .6000 5.4000 2.920000E0 1.6360522
PS 25 46.6981 61.0577 5.342501E1 4.8356570
Valid N (listwise) 25
Table 4.2: Descriptive Statistics of MYS

The result generated from the sample size of the country MYS show that there is total of 25 data has been used for the research study. All variables were tapping on positive scale as can be seen in column number four with the highest value is represent by the variable PS (61.0577) and the lowest value is GDP (0.1924). The independent variable, PS show the highest value in mean at 5.342501E1 mean while GDP show the lowest value at 0.098377 The standard deviation of ROE is the highest (6.1843455) as to compare with the lowest value present by GDP (0.1210521).  

4.3 COEFFICIENT OF DETERMINATION (R-SQUARE)
Coefficient of determination (R2) is used to measure the correlation between dependent and independent variable in the regression analysis. It helps the researcher to measure how well the overall equation can explain the dependent variables. The value is range from 0 to 1. The higher values indicate that the dependent variable can be explained by the particular independent variable.

Coefficient of Determination
COUNTRY DV R R2
BIH ROA 0.166 0.027
ROE 0.426 0.181
MYS ROA 0.165 0.027
ROE 0.222 0.049
Table 4.3: Coefficient of Determination of BIH and MYS

Table 4.3 represents the result regressed from SPSS that convey the value of coefficient of determination, R-square for both countries tested which are BIH and MYS. The values of R for the dependent variable ROA for the country BIH show a weak relationship between dependent variable and its independent variables since its lower than average of 0.5. However, it shows that the value of R for the dependent variable ROE show much positive relationship between the dependent variable ROE with its independent variable GDP, inflation and political stability. It explains that only 2.7% of the change of ROA for B...

+1 -0.005 -0.042 -0.087 -0.269 -0.553 -1 -1.625 -4.3700 -41.9200 -6.749 -89.197 0 0.005 0.021 0.027 0.042 0.049 0.05 0.077 0.087 0.098377 0.102 0.1104654 0.1210521 0.122388 0.123 0.165 0.166 0.181 0.1924 0.196 0.198 0.222 0.232 0.241 0.2426 0.268 0.269 0.314 0.334 0.342 0.363 0.382 0.403 0.426 0.433 0.453 0.493 0.5 0.553 0.586 0.642 0.680 0.692 0.732 0.780 0.792 0.843 0.864 0.897 0.898 005 035 042 0588 098377 1 1.082 1.130 1.174 1.306 1.386720e1 1.548 1.625 1.6360522 1.6400 1.6981657 1.81 1.9654637 1.97 1.970 104 11.5150330 1104654 1210521 122388 124.100 1295 15.103 15.442 16.563 16.783 17.296 17.3000 177 192.071 1924 196 198 2 2.330 2.547 2.7 2.775723e1 2.920000e0 2.9258902 21 232a 24 2400 2426 25 25.9434 2606.092 27.3500 28.309 3 3.1300 3.352 3.450 3.640000e0 3.722 3.826 3.904800e0 30.2885 30.475 3182.304 363 3992610 4 4.1 4.10 4.11 4.12 4.13 4.2 4.2.1 4.2.2 4.294 4.3 4.4 4.5 4.6 4.7 4.8 4.8356570 4.9 4000 41.552 45.308 46.6981 48.903 5.342501e1 5.4000 5.668 576.212 6.1843455 6000 61.0577 616800 7.4000 780a 8.4400 849 872.599 897a 898a 90.166 90.228 917.907 92.713 95.1 97.3 975200 98.19 accept also altern amount analysi analyz anova answer appear ask averag bank bih bosnia brief briefli cannot central chang chapter chosen close coeffici collect column combin compar conclud confid consist contribut convey correl countri data decreas demand depend descript determin deviat df differ direct discov discuss distribut dv earlier entir equat error estim everi examin exampl exceed exist explain extern f f-distribut f-statist f-test f-valu factor fail far find first fit follow found four function gdp generat give given h1 hand happen heavili help herzegovina higher highest ho howev hypothes hypothesi identifi impact increas independ indic inf inflat influenc insignific intercept interpret interv introduct iv known later less level linear listwis lower lowest major make malaysia maximum mean meanwhil measur method minimum model much multipl mys n name need negat next note null number obtain obvious occurr one order overal p p-valu packag paper part particular perfect perform point polit popul posit possess possibl predictor present profit provid ps question r r-squar r2 rang recognis record regress reject relat relationship remain repres research residu respect rest result roa roe said sampl scale scatter scienc second seen set show sig signific simpl sinc singl size social softwar special spss squar stabil standard state statist std strength strong studi sum summar summari support t-statist t-test tabl tap tendenc test therefor three thus total toward tri two unidentifi use valid valu variabl varianc variat versa vice want weak well whether whole wide