Descriptives sebelum outlier

Descriptive Statistics	
	N	Minimum	Maximum	Mean	Std. Deviation	
ROA	120	-11,15	4,90	,6643	2,72081	
CAR	120	3,21	68,43	21,3081	8,20413	
NPL	120	,05	15,82	3,6711	2,55630	
NIM	120	1,12	64,32	5,4222	5,74092	
LDR	120	8,86	145,26	85,0412	15,13860	
Valid N (listwise)	120					

Normalitas Sebelum Outlier

Descriptive Statistics	
	N	Minimum	Maximum	Mean	Std. Deviation	Skewness	Kurtosis	
	Statistic	Statistic	Statistic	Statistic	Statistic	Statistic	Std. Error	Statistic	Std. Error	
Unstandardized Residual	120	-8,53890	8,04282	,0000000	1,97303430	-,717	,221	5,162	,438	
Valid N (listwise)	120									

Descriptives setelah outlier 2

Descriptive Statistics	
	N	Minimum	Maximum	Mean	Std. Deviation	
ROA	98	-5,25	4,00	1,2958	1,45472	
CAR	98	3,21	39,46	20,6828	5,82450	
NPL	98	,08	6,86	3,2065	1,44525	
NIM	98	1,53	9,30	4,9607	1,54011	
LDR	98	50,61	111,07	85,7312	11,63298	
Valid N (listwise)	98					

Analisis Regresi Berganda

Variables Entered/Removedb	
Model	Variables Entered	Variables Removed	Method	
1	LDR, NPL, NIM, CAR	.	Enter	
a. All requested variables entered.
b. Dependent Variable: ROA

Model Summaryb	
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson	
1	,729a	,532	,512	1,01658	2,154	
a. Predictors: (Constant), LDR, NPL, NIM, CAR
b. Dependent Variable: ROA

ANOVAb	
Model	Sum of Squares	df	Mean Square	F	Sig.	
1	Regression	109,163	4	27,291	26,408	,000a	
	Residual	96,110	93	1,033			
	Total	205,273	97				
a. Predictors: (Constant), LDR, NPL, NIM, CAR
b. Dependent Variable: ROA

Coefficientsa	
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	Collinearity Statistics	
	B	Std. Error	Beta			Tolerance	VIF	
1	(Constant)	-,607	1,009		-,602	,549			
	CAR	,011	,020	,045	,556	,580	,779	1,284	
	NPL	-,461	,077	-,458	-5,988	,000	,859	1,164	
	NIM	,418	,072	,442	5,813	,000	,869	1,151	
	LDR	,013	,009	,101	1,377	,172	,943	1,061	
a. Dependent Variable: ROA

Collinearity Diagnosticsa	
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions	
				(Constant)	CAR	NPL	NIM	LDR	
1	1	4,706	1,000	,00	,00	,01	,00	,00	
	2	,190	4,972	,00	,05	,54	,05	,00	
	3	,057	9,126	,00	,37	,00	,81	,00	
	4	,040	10,837	,03	,34	,36	,14	,19	
	5	,007	26,166	,96	,24	,09	,00	,80	
a. Dependent Variable: ROA

Residuals Statisticsa	
	Minimum	Maximum	Mean	Std. Deviation	N	
Predicted Value	-1,4587	3,4076	1,2958	1,06084	98	
Residual	-5,05690	1,90429	,00000	,99540	98	
Std. Predicted Value	-2,597	1,991	,000	1,000	98	
Std. Residual	-4,974	1,873	,000	,979	98	
a. Dependent Variable: ROA

Normalitas setelah outlier

Descriptive Statistics	
	N	Minimum	Maximum	Mean	Std. Deviation	Skewness	Kurtosis	
	Statistic	Statistic	Statistic	Statistic	Statistic	Statistic	Std. Error	Statistic	Std. Error	
Unstandardized Residual	98	-1,86929	1,90922	,0612245	,82150641	-,191	,244	-,222	,483	
Valid N (listwise)	98									

Uji Heteroskedastisitas-Uji Glejser

Variables Entered/Removedb	
Model	Variables Entered	Variables Removed	Method	
1	LDR, NPL, NIM, CAR	.	Enter	
a. All requested variables entered.
b. Dependent Variable: AbsRes

Model Summary	
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	
1	,274a	,075	,035	,48099	
a. Predictors: (Constant), LDR, NPL, NIM, CAR

ANOVAb	
Model	Sum of Squares	df	Mean Square	F	Sig.	
1	Regression	1,743	4	,436	1,884	,120a	
	Residual	21,515	93	,231			
	Total	23,259	97				
a. Predictors: (Constant), LDR, NPL, NIM, CAR
b. Dependent Variable: AbsRes

Coefficientsa	
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	
	B	Std. Error	Beta			
1	(Constant)	1,324	,477		2,775	,007	
	CAR	-,015	,010	-,173	-1,532	,129	
	NPL	,034	,036	,101	,936	,352	
	NIM	,051	,034	,160	1,493	,139	
	LDR	-,008	,004	-,201	-1,958	,053	
a. Dependent Variable: AbsRes