Các yếu tố tác động đến ý định sử dụng dịch vụ Chính phủ điện tử - Nghiên cứu trường hợp ngành thuế Tỉnh Long An - 12

Model

Variables Entered

Variables Removed

Method

1

X2, KN, GT, X1, HTb

.

Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model

R

R

Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

Durbin- Watson

R Square Change

F

Change

df1

df2

Sig. F

Chang e

1

.764a

.584

.567

.6388515

.584

34.771

5

124

.000

1.621

a. Predictors: (Constant), X2, KN, GT, X1, HT

b. Dependent Variable: Y

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

70.955

5

14.191

34.771

.000b

Residual

50.608

124

.408

Total

121.563

129

a. Dependent Variable: Y

b. Predictors: (Constant), X2, KN, GT, X1, HT

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

-.393

.449

-.874

.384

GT

.050

.114

.026

.435

.664

.978

1.022

KN

.041

.041

.101

.998

.320

.330

3.026

HT

-.037

.046

-.083

-.818

.415

.329

3.042

X1

.419

.064

.406

6.585

.000

.883

1.133

X2

.587

.067

.533

8.713

.000

.898

1.114

a. Dependent Variable: Y

Minimum

Maximum

Mean

Std.

Deviation

N

Predicted Value

1.143219

6.747318

4.971795

.7416459

130

Residual

-1.3673475

1.6494917

0E-7

.6263483

130

Std. Predicted Value

-5.162

2.394

.000

1.000

130

Std. Residual

-2.140

2.582

.000

.980

130

a. Dependent Variable: Y

Model

Variables Entered

Variables Removed

Method

1

X5, GT, KN, X1, X4, X3, X2, HTb

.

Enter

a. Dependent Variable: Y

b. All requested variables entered.

Mod el

R

R

Square

Adjusted R Square

Std. Error of the

Estimate

Change Statistics

Durbin- Watson

R Square Change

F

Change

df1

df2

Sig. F Change

1

.856a

.733

.715

.5179964

.733

41.507

8

121

.000

1.833

a. Predictors: (Constant), X5, GT, KN, X1, X4, X3, X2, HT

b. Dependent Variable: Y

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

89.096

8

11.137

41.507

.000b

Residual

32.467

121

.268

Total

121.563

129

a. Dependent Variable: Y

b. Predictors: (Constant), X5, GT, KN, X1, X4, X3, X2, HT

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

-1.262

.383

-3.296

.001

GT

.116

.095

.060

1.222

.224

.929

1.077

KN

.051

.033

.127

1.549

.124

.328

3.047

HT

-.057

.037

-.127

-1.533

.128

.324

3.090

X1

.296

.054

.287

5.499

.000

.808

1.238

X2

.250

.071

.227

3.538

.001

.538

1.860

X3

.221

.054

.231

4.101

.000

.697

1.434

X4

.255

.061

.251

4.169

.000

.609

1.641

X5

.206

.063

.199

3.242

.002

.586

1.705

a. Dependent Variable: Y

Minimum

Maximum

Mean

Std.

Deviation

N

Predicted Value

.744890

7.062774

4.971795

.8310659

130

Residual

-1.2739224

1.2631037

0E-7

.5016774

130

Std. Predicted Value

-5.086

2.516

.000

1.000

130

Std. Residual

-2.459

2.438

.000

.968

130

a. Dependent Variable: Y