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Write up a hierarchical multiple regression using this data set Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 DASS_ANXIETY b . Enter

Write up a hierarchical multiple regression using this data set

Regression

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

DASS_ANXIETYb

.

Enter

2

CQT_TOTALb

.

Enter

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

Model Summaryc

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

R Square Change

F Change

1

.728a

.530

.529

8.08353

.530

577.976

2

.743b

.551

.550

7.90667

.021

24.162

Model Summaryc

Model

Change Statistics

df1

df2

Sig. F Change

1

1

512

<.001>

2

1

511

<.001>

a. Predictors: (Constant), DASS_ANXIETY
b. Predictors: (Constant), DASS_ANXIETY, CQT_TOTAL
c. Dependent Variable: DASS_Depression

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

37767.024

1

37767.024

577.976

<.001>b

Residual

33455.887

512

65.344

Total

71222.911

513

2

Regression

39277.512

2

19638.756

314.142

<.001>c

Residual

31945.399

511

62.515

Total

71222.911

513

a. Dependent Variable: DASS_Depression
b. Predictors: (Constant), DASS_ANXIETY
c. Predictors: (Constant), DASS_ANXIETY, CQT_TOTAL

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

5.728

.597

9.601

<.001>

DASS_ANXIETY

.872

.036

.728

24.041

<.001>

2

(Constant)

2.260

.916

2.468

.014

DASS_ANXIETY

.773

.041

.646

18.947

<.001>

CQT_TOTAL

.105

.021

.167

4.915

<.001>

Coefficientsa

Model

95.0% Confidence Interval for B

Correlations

Lower Bound

Upper Bound

Zero-order

Partial

Part

1

(Constant)

4.556

6.901

DASS_ANXIETY

.801

.943

.728

.728

.728

2

(Constant)

.461

4.059

DASS_ANXIETY

.693

.853

.728

.642

.561

CQT_TOTAL

.063

.147

.486

.212

.146

Coefficientsa

Model

Collinearity Statistics

Tolerance

VIF

1

(Constant)

DASS_ANXIETY

1.000

1.000

2

(Constant)

DASS_ANXIETY

.756

1.322

CQT_TOTAL

.756

1.322

a. Dependent Variable: DASS_Depression

Excluded Variablesa

Model

Beta In

t

Sig.

Partial Correlation

Collinearity Statistics

Tolerance

VIF

1

CQT_TOTAL

.167b

4.915

<.001>

.212

.756

1.322

Excluded Variablesa

Model

Collinearity Statistics

Minimum Tolerance

1

CQT_TOTAL

.756

a. Dependent Variable: DASS_Depression
b. Predictors in the Model: (Constant), DASS_ANXIETY

Collinearity Diagnosticsa

Model

Dimension

Eigenvalue

Condition Index

Variance Proportions

(Constant)

DASS_ANXIETY

CQT_TOTAL

1

1

1.802

1.000

.10

.10

2

.198

3.015

.90

.90

2

1

2.721

1.000

.02

.03

.01

2

.210

3.596

.20

.83

.03

3

.069

6.294

.78

.14

.96

a. Dependent Variable: DASS_Depression

Residuals Statisticsa

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

4.8910

46.7303

17.2296

8.75011

514

Std. Predicted Value

-1.410

3.371

.000

1.000

514

Standard Error of Predicted Value

.350

1.624

.573

.192

514

Adjusted Predicted Value

4.8606

46.8832

17.2343

8.75771

514

Residual

-21.68871

26.16174

.00000

7.89124

514

Std. Residual

-2.743

3.309

.000

.998

514

Stud. Residual

-2.769

3.318

.000

1.001

514

Deleted Residual

-22.09951

26.30526

-.00469

7.94315

514

Stud. Deleted Residual

-2.787

3.351

.000

1.003

514

Mahal. Distance

.007

20.653

1.996

2.451

514

Cook's Distance

.000

.054

.002

.005

514

Centered Leverage Value

.000

.040

.004

.005

514

a. Dependent Variable: DASS_Depression

Charts

image text in transcribedimage text in transcribedimage text in transcribed
Histogram Dependent Variable: DASS_Depression Mean = -7.87E-17 80 Std. Dev. = 0.998 N = 514 60 Frequency 40 20 -2 0 2 4 Regression Standardized ResidualNormal P-P Plot of Regression Standardized Residual Dependent Variable: DASS_Depression 1.0 0.8 0.6 Expected Cum Prob 0.4 0.2 0.0 0.0 0.2 0.4 0.6 0.8 1.0 Observed Cum ProbScatterplot Dependent Variable: DASS_Depression C 4 O OO OO CO 0 00 CO O 00 0 O 2 000 0 0 0 000 OOO CO 0 COO O OO COO 0 00000 OO . 4 Regression Standardized Residual CO .. 3 2 1 -2 Regression Standardized Predicted Value -1 -2

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