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One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N

34

Normal Parameters

a

Most Extreme Differences

Mean

.0000000

Std. Deviation

.08975232

Absolute

.172

Positive

.172

Negative

-.099

Kolmogorov-Smirnov Z

1.006

Asymp. Sig. (2-tailed)

.264

a. Test distribution is Normal.

b

ANOVA
Model
1

Sum of Squares df

Mean Square

F

Sig.

Regression

.029

2

.015

4.995

.013

Residual

.091

31

.003

Total

.121

33

a. Predictors: (Constant), CSRD, proper
b. Dependent Variable: abs_res

a

a

Coefficients

Standardized
Unstandardized Coefficients

Coefficients

B

Std. Error

Beta

(Constant)

-.044

.052

proper

.013

.021

CSRD

.167

.101

Model
1

t

Sig.

-.844

.405

.139

.601

.552

.382

1.653

.108

a. Dependent Variable: abs_res

a

Residuals Statistics

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.0226

.1295

.0653

.02988

34

Residual

-.11622

.13175

.00000

.05264

34

Std. Predicted Value

-1.430

2.149

.000

1.000

34

Std. Residual

-2.140

2.426

.000

.969

34

a. Dependent Variable: abs_res

ANOVAb
Model
1

Sum of Squares

df

Mean Square

F

Sig.

Regression

.124

2

.062

7.233

.003a

Residual

.266

31

.009

Total

.390

33

a. Predictors: (Constant), CSRD, proper
b. Dependent Variable: ROA

a

Coefficients

Model
1

Unstandardized

Standardized

Coefficients

Coefficients

B

Std. Error

Beta

Collinearity Statistics
t

Sig.

-.001

.999

Tolerance

VIF

(Constant) -9.436E-5

.089

proper

-.020

.036

-.119

-.541

.593

.456

2.191

CSRD

.507

.172

.646

2.942

.006

.456

2.191

a. Dependent Variable: ROA

a

Collinearity Diagnostics

Variance Proportions

Dimensi
Model

on

Eigenvalue

Condition Index

(Constant)

proper

CSRD

1

1

2.933

1.000

.00

.00

.01

2

.056

7.216

.24

.00

.50

3

.010

16.808

.75

1.00

.50

a. Dependent Variable: ROA

a

Residuals Statistics

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.0449

.2529

.1314

.06131

34

Residual

-.19315

.21897

.00000

.08975

34

Std. Predicted Value

-1.410

1.983

.000

1.000

34

Std. Residual

-2.086

2.365

.000

.969

34

a. Dependent Variable: ROA

b

ANOVA
Model
1

Sum of Squares

df

Mean Square

F

Sig.

Regression

.344

1

.344

38.103

.000

Residual

.289

32

.009

Total

.633

33

a

a. Predictors: (Constant), proper
b. Dependent Variable: CSRD

a

Coefficients

Standardized
Unstandardized Coefficients

Coefficients

B

Std. Error

Beta

(Constant)

-.139

.087

proper

.155

.025

Model
1

.737

t

Sig.

-1.587

.122

6.173

.000

a. Dependent Variable: CSRD

a

Collinearity Diagnostics

Variance Proportions

Dimensi
Model

on

Eigenvalue

Condition Index

(Constant)

proper

1

1

1.982

1.000

.01

.01

2

.018

10.639

.99

.99

a. Dependent Variable: CSRD

Residuals Statisticsa
Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.17206

.63831

.39147

.102076

34

Residual

-.187893

.171107

.000000

.093545

34

Std. Predicted Value

-2.149

2.418

.000

1.000

34

Std. Residual

-1.978

1.801

.000

.985

34

a

Residuals Statistics

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.17206

.63831

.39147

.102076

34

Residual

-.187893

.171107

.000000

.093545

34

Std. Predicted Value

-2.149

2.418

.000

1.000

34

Std. Residual

-1.978

1.801

.000

.985

34

a. Dependent Variable: CSRD

b

ANOVA
Model
1

Sum of Squares df

Mean Square

F

Sig.

Regression

.124

2

.062

7.233

.003

Residual

.266

31

.009

Total

.390

33

a

a. Predictors: (Constant), CSRD, proper
b. Dependent Variable: ROA

Coefficientsa
Standardized
Unstandardized Coefficients

Coefficients

B

Std. Error

Beta

(Constant)

-9.436E-5

.089

proper

-.020

.036

CSRD

.507

.172

Model
1

a. Dependent Variable: ROA

t

Sig.

-.001

.999

-.119

-.541

.593

.646

2.942

.006

a

Residuals Statistics

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.0449

.2529

.1314

.06131

34

Residual

-.19315

.21897

.00000

.08975

34

Std. Predicted Value

-1.410

1.983

.000

1.000

34

Std. Residual

-2.086

2.365

.000

.969

34

a. Dependent Variable: ROA