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Total Variance Explained


Component

Initial Eigenvalues

Extraction Sums of Squared Loadings


Total

% of Variance

Cumulative

%


Total

% of Variance

Cumulative

%

1

1.884

62.793

62.793

1.884

62.793

62.793

2

.617

20.583

83.376

3

.499

16.624

100.000

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Extraction Method: Principal Component Analysis.


Component Matrixa



Component

1

KTQT1

.820

KTQT3

.798

KTQT2

.758

Extraction Method: Principal Component Analysis.

a. 1 components extracted.



NCTT

NTLD

BMQL

PPKT

NLKT

CNTT

MDCT

KTQT

NCTT

Pearson

Correlati on

1

.030

.149*

.112

.206**

.050

.158*

.406**


Sig. (2-

tailed)


.682

.038

.118

.004

.491

.027

.000


N

195

195

195

195

195

195

195

195

NTLD

Pearson Correlati on

.030

1

.180*

.207**

.157*

.189**

.321**

.441**


Sig. (2-

tailed)

.682


.012

.004

.029

.008

.000

.000


N

195

195

195

195

195

195

195

195

BMQL

Pearson Correlati on

.149*

.180*

1

.133

.392**

.250**

.323**

.498**


Sig. (2-

tailed)

.038

.012


.063

.000

.000

.000

.000


N

195

195

195

195

195

195

195

195

PPKT

Pearson Correlati on

.112

.207**

.133

1

-.040

.302**

.124

.332**


Sig. (2-

tailed)

.118

.004

.063


.580

.000

.084

.000


N

195

195

195

195

195

195

195

195

NLKT

Pearson Correlati on

.206**

.157*

.392**

-.040

1

-.002

.193**

.423**


Sig. (2-

tailed)

.004

.029

.000

.580


.977

.007

.000


N

195

195

195

195

195

195

195

195

Correlations

CNTT

Pearson

Correlati on

.050

.189**

.250**

.302**

-.002

1

.162*

.393**


Sig. (2-

tailed)

.491

.008

.000

.000

.977


.024

.000


N

195

195

195

195

195

195

195

195

MDCT

Pearson

Correlati on

.158*

.321**

.323**

.124

.193**

.162*

1

.413**


Sig. (2-

tailed)

.027

.000

.000

.084

.007

.024


.000


N

195

195

195

195

195

195

195

195

KTQT

Pearson Correlati on

.406**

.441**

.498**

.332**

.423**

.393**

.413**

1


Sig. (2-

tailed)

.000

.000

.000

.000

.000

.000

.000



N

195

195

195

195

195

195

195

195

*.


Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).


Model Summaryb


Model


R


R

Square


Adjust ed R Square

Std. Error of the Estima te

Change Statistic

s


Durbi n- Wats on

R

Squar e Chan

ge


F

Chang e


df1


df2


Sig. F

Chan ge

1

.779

a

.60

7

.59

2

.3670

3

.60

7

41.29

5

7

18

7

.00

0

1.08

2

a. Predictors: (Constant), MDCT, PPKT, NCTT, NLKT, CNTT, NTLD, BMQL

b. Dependent Variable: KTQT


ANOVAa


Model

Sum of Squares


df

Mean Square


F


Sig.

1

Regression

38.939

7

5.563

41.295

.000b


Residual

25.190

187

.135


Total

64.129

194


a. Dependent Variable: KTQT

b. Predictors: (Constant), MDCT, PPKT, NCTT, NLKT, CNTT, NTLD, BMQL


Coefficientsa


Model


Unstandardized Coefficients


Standardized Coefficients


t


Sig.


Correlations


Collinearity Statistics

B

Std.

Error

Beta

Zero-

order

Partial

Part

Tolerance

VIF

1

(Constant)

-1.302

.325


-4.010

.000






NCTT

.309

.054

.273

5.739

.000

.406

.387

.263

.927

1.078

NTLD

.231

.046

.248

4.970

.000

.441

.342

.228

.845

1.184


BMQL

.179

.046

.209

3.903

.000

.498

.274

.179

.734

1.363

PPKT

.140

.046

.151

3.062

.003

.332

.218

.140

.865

1.156

NLKT

.258

.058

.229

4.435

.000

.423

.308

.203

.791

1.264

CNTT

.141

.033

.216

4.323

.000

.393

.301

.198

.844

1.185

MDCT

.112

.046

.125

2.447

.015

.413

.176

.112

.809

1.236

a. Dependent Variable: KTQT


Normal P P Plot of Regression Standardized Residual Dependent Variable KTQT Observed Cum Prob 2 q 1

Normal P-P Plot of Regression Standardized Residual Dependent Variable: KTQT

Observed Cum Prob 2 q O 1 0 1 2 2 0 2 Scatterplot Dependent Variable KTQT Regression 2

Observed Cum Prob


2-

q O

1-

0-

-1-

-2-

-2

0

2

Scatterplot Dependent Variable: KTQT



Regression Standardized Predicted Value

30 31 32 33 3



30

0 1 2 2 0 2 Scatterplot Dependent Variable KTQT Regression Standardized Predicted Value 30 4


31

1 2 2 0 2 Scatterplot Dependent Variable KTQT Regression Standardized Predicted Value 30 31 5


32

2 2 0 2 Scatterplot Dependent Variable KTQT Regression Standardized Predicted Value 30 31 32 6



33

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