Linear Regression Method Research Model Analysis Method

on sample data Basuki, 2015. Someone who conduct a research would use more sample data rather than the data population. Through sample could used as a tool of verification for population. In doing the research based on sample, a researcher must clearly state the hypothesis of the research conducted to be verified through a study of the sample data Basuki, 2015. The hypothesis that wrong were stated as null hypothesis symbolized H0, and the correct hypothesis were stated as alternative hypothesis with the symbol H1 Basuki, 2015. Statistically, there was t-test to testing the hypothesis of the sample data. T-test is a procedure which the sample results could be used to verify or disprove the null hypothesis H0. The decision was to accept or reject H0 based on statistics test value obtained from the data. To test the influence of financing variables and social variables on ROA, the hypothesis used in this study were: H0: independent variables is not statistically significant influence on ROA H1: independent variables is statistically significant influence on ROA With criteria: If the T-test probability of a variable is more than 0.05 0.05, then H0 is accepted If the T-test probability of a variable is less than 0.05 0.05, then H0 is rejected If rejecting null hypothesis H0 or accepting the alternative hypothesis H1 it means the independent variable was statistically significant influence the dependent variable and vice versa. If accepting the null hypothesis H0 and rejecting the alternative hypothesis H1, means the independent variable is not statistically significant influence the dependent variable Basuki, 2015.

CHAPTER IV RESEARCH FINDINGS DISCUSSION

1.1 Descriptive Variables

The descriptive statistics for all the variables were shows to identify each variables used in this research. Table 4. 1 Descriptive Variables ROA IJARA ISTISNA MUDHARABAH MURABAHAH MUSHARAKAH QARD Mean 1.981944 5822.139 385.5833 11068.25 72948.28 24479.33 10323.28 Median 1.995000 5344.000 352.5000 10963.50 69241.00 22310.00 10985.00 Maximum 2.520000 10481.00 582.0000 13878.00 110565.0 39874.00 13135.00 Minimum 1.360000 2417.000 285.0000 8560.000 37855.00 14600.00 5922.000 Std. Dev. 0.213526 2723.026 86.18431 1549.601 24254.34 8118.676 2032.753 Skewness 0.014085 0.412802 0.960968 0.195802 0.153370 0.498098 -0.831609 Kurtosis 4.236269 1.794768 2.446428 2.035017 1.554355 1.863053 2.594218 Jarque-Bera 2.293733 3.201310 6.000422 1.626819 3.275970 3.427582 4.396429 Probability 0.317631 0.201764 0.049777 0.443344 0.194371 0.180181 0.111001 Sum 71.35000 209597.0 13881.00 398457.0 2626138. 881256.0 371638.0 Sum Sq. Dev. 1.595764 2.60E+08 259970.8 84044261 2.06E+10 2.31E+09 1.45E+08 Observations 36 36 36 36 36 36 36 Source: SBS 2011-2013, OJK Table 4.1 shows the entire variables used in this study with monthly periods. It displays the descriptive variable from all the data. The dependent variables was ROA return on assets, while financing variables mudharabah, musharakah , murabahah, istisna, ijara and social variable qard were the independent variables. From the table 4.1, it show the following results: ROA’s mean, median, maximum, and minimum values are, respectively, 1.981944, 1.995000,