REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT Y_3
  /METHOD=ENTER X_1 Z_2
  /SCATTERPLOT=(*SRESID ,*ZPRED)
  /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID)
  /SAVE RESID.

Regression

Notes	
Output Created	01-JUN-2021 22:09:29	
Comments		
Input	Data	/Users/mreinaldy/Downloads/Run Data Skripsi Ver.2_1.sav	
	Active Dataset	DataSet0	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	181	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.	
	Cases Used	Statistics are based on cases with no missing values for any variable used.	
Syntax	REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT Y_3
  /METHOD=ENTER X_1 Z_2
  /SCATTERPLOT=(*SRESID ,*ZPRED)
  /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID)
  /SAVE RESID.	
Resources	Processor Time	00:00:00.50	
	Elapsed Time	00:00:01.00	
	Memory Required	2992 bytes	
	Additional Memory Required for Residual Plots	880 bytes	
Variables Created or Modified	RES_1	Unstandardized Residual	

Variables Entered/Removeda	
Model	Variables Entered	Variables Removed	Method	
1	PCEO_Z, Konservatisme_Xb	.	Enter	

a. Dependent Variable: Profitabilitas_Y	
b. All requested variables entered.	

Model Summaryb	
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	
1	.287a	.082	.072	.14708	

a. Predictors: (Constant), PCEO_Z, Konservatisme_X	
b. Dependent Variable: Profitabilitas_Y	

ANOVAa	
Model	Sum of Squares	df	Mean Square	F	Sig.	
1	Regression	.345	2	.172	7.965	.000b	
	Residual	3.851	178	.022			
	Total	4.195	180				

a. Dependent Variable: Profitabilitas_Y	
b. Predictors: (Constant), PCEO_Z, Konservatisme_X	

Coefficientsa	
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	
	B	Std. Error	Beta			
1	(Constant)	.059	.016		3.617	.000	
	Konservatisme_X	.024	.006	.287	3.980	.000	
	PCEO_Z	.002	.026	.006	.083	.934	

a. Dependent Variable: Profitabilitas_Y	

Residuals Statisticsa	
	Minimum	Maximum	Mean	Std. Deviation	N	
Predicted Value	.0426	.3840	.0993	.04375	181	
Std. Predicted Value	-1.296	6.505	.000	1.000	181	
Standard Error of Predicted Value	.013	.072	.018	.006	181	
Adjusted Predicted Value	.0374	.4042	.0993	.04453	181	
Residual	-.88371	.99999	.00000	.14626	181	
Std. Residual	-6.008	6.799	.000	.994	181	
Stud. Residual	-6.032	6.904	.000	1.003	181	
Deleted Residual	-.89062	1.03127	.00002	.14895	181	
Stud. Deleted Residual	-6.743	8.046	.003	1.075	181	
Mahal. Distance	.319	42.322	1.989	3.445	181	
Cook's Distance	.000	.497	.006	.038	181	
Centered Leverage Value	.002	.235	.011	.019	181	

a. Dependent Variable: Profitabilitas_Y	

Charts

REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT Y_3
  /METHOD=ENTER X_1 Z_2 X_1Z_2
  /SCATTERPLOT=(*SRESID ,*ZPRED)
  /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID).

Regression

Notes	
Output Created	01-JUN-2021 22:10:13	
Comments		
Input	Data	/Users/mreinaldy/Downloads/Run Data Skripsi Ver.2_1.sav	
	Active Dataset	DataSet0	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	181	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.	
	Cases Used	Statistics are based on cases with no missing values for any variable used.	
Syntax	REGRESSION
  /MISSING LISTWISE
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT Y_3
  /METHOD=ENTER X_1 Z_2 X_1Z_2
  /SCATTERPLOT=(*SRESID ,*ZPRED)
  /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID).	
Resources	Processor Time	00:00:00.44	
	Elapsed Time	00:00:00.00	
	Memory Required	3552 bytes	
	Additional Memory Required for Residual Plots	864 bytes	

Variables Entered/Removeda	
Model	Variables Entered	Variables Removed	Method	
1	X_1Y_2, Konservatisme_X, PCEO_Zb	.	Enter	

a. Dependent Variable: Profitabilitas_Y	
b. All requested variables entered.	

Model Summaryb	
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	
1	.293a	.086	.070	.14721	

a. Predictors: (Constant), X_1Y_2, Konservatisme_X, PCEO_Z	
b. Dependent Variable: Profitabilitas_Y	

ANOVAa	
Model	Sum of Squares	df	Mean Square	F	Sig.	
1	Regression	.359	3	.120	5.528	.001b	
	Residual	3.836	177	.022			
	Total	4.195	180				

a. Dependent Variable: Profitabilitas_Y	
b. Predictors: (Constant), X_1Y_2, Konservatisme_X, PCEO_Z	

Coefficientsa	
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.	
	B	Std. Error	Beta			
1	(Constant)	.056	.017		3.366	.001	
	Konservatisme_X	.025	.006	.307	4.036	.000	
	PCEO_Z	.025	.038	.072	.667	.506	
	X_1Y_2	-.017	.020	-.089	-.826	.410	

a. Dependent Variable: Profitabilitas_Y	

Residuals Statisticsa	
	Minimum	Maximum	Mean	Std. Deviation	N	
Predicted Value	.0387	.4032	.0993	.04468	181	
Std. Predicted Value	-1.358	6.801	.000	1.000	181	
Standard Error of Predicted Value	.013	.086	.020	.010	181	
Adjusted Predicted Value	.0330	.4333	.0992	.04583	181	
Residual	-.88457	.99394	.00000	.14598	181	
Std. Residual	-6.009	6.752	.000	.992	181	
Stud. Residual	-6.032	6.865	.000	1.002	181	
Deleted Residual	-.89153	1.02765	.00010	.14911	181	
Stud. Deleted Residual	-6.749	7.992	.003	1.074	181	
Mahal. Distance	.319	60.828	2.983	6.126	181	
Cook's Distance	.000	.400	.005	.031	181	
Centered Leverage Value	.002	.338	.017	.034	181	

a. Dependent Variable: Profitabilitas_Y	

Charts

NPAR TESTS
  /K-S(NORMAL)=RES_1
  /MISSING ANALYSIS.

NPar Tests

Notes	
Output Created	01-JUN-2021 22:11:22	
Comments		
Input	Data	/Users/mreinaldy/Downloads/Run Data Skripsi Ver.2_1.sav	
	Active Dataset	DataSet0	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	181	
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.	
	Cases Used	Statistics for each test are based on all cases with valid data for the variable(s) used in that test.	
Syntax	NPAR TESTS
  /K-S(NORMAL)=RES_1
  /MISSING ANALYSIS.	
Resources	Processor Time	00:00:00.00	
	Elapsed Time	00:00:00.00	
	Number of Cases Alloweda	786432	

a. Based on availability of workspace memory.	

One-Sample Kolmogorov-Smirnov Test	
	Unstandardized Residual	
N	181	
Normal Parametersa,b	Mean	.0000000	
	Std. Deviation	.14626296	
Most Extreme Differences	Absolute	.124	
	Positive	.112	
	Negative	-.124	
Test Statistic	.124	
Asymp. Sig. (2-tailed)	.000c	

a. Test distribution is Normal.	
b. Calculated from data.	
c. Lilliefors Significance Correction.	

DESCRIPTIVES VARIABLES=Y_3 X_1 Z_2
  /STATISTICS=MEAN STDDEV MIN MAX.

Descriptives

Notes	
Output Created	01-JUN-2021 22:36:45	
Comments		
Input	Data	/Users/mreinaldy/Downloads/Run Data Skripsi Ver.2_1.sav	
	Active Dataset	DataSet0	
	Filter	<none>	
	Weight	<none>	
	Split File	<none>	
	N of Rows in Working Data File	181	
Missing Value Handling	Definition of Missing	User defined missing values are treated as missing.	
	Cases Used	All non-missing data are used.	
Syntax	DESCRIPTIVES VARIABLES=Y_3 X_1 Z_2
  /STATISTICS=MEAN STDDEV MIN MAX.	
Resources	Processor Time	00:00:00.00	
	Elapsed Time	00:00:00.00	

Descriptive Statistics	
	N	Minimum	Maximum	Mean	Std. Deviation	
Profitabilitas_Y	181	-.77	1.19	.0993	.15267	
Konservatisme_X	181	-.70	13.66	1.6633	1.84415	
PCEO_Z	181	.00	1.00	.2431	.43014	
Valid N (listwise)	181