Descriptives

Notes

Output Created

18-Nov-2015 22:47:27

Comments

Input

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

666

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=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006

/STATISTICS=MEAN STDDEV MIN MAX.

Resources

Processor Time

00:00:00.016

Elapsed Time

00:00:00.016

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Log PAD(t-1)

666

8.88

12.36

10.5373

.47973

Log DBH(t-1)

666

9.95

12.71

10.7757

.40637

Log DAU(t-1)

666

8.56

12.87

11.5921

.26514

Log (DAK(t-1)

666

9.31

11.22

10.6383

.24457

Log SiLPA(t-1)

666

-10.15

12.39

10.3335

2.28994

Log BM(t)

666

10.21

12.53

11.2265

.24741

Valid N (listwise)

666

REGRESSION

/MISSINGLISTWISE

/STATISTICSCOEFFOUTSRANOVACOLLINTOL

/CRITERIA=PIN(.05)POUT(.10)

/NOORIGIN

/DEPENDENTVAR00006

/METHOD=ENTERVAR00001VAR00002VAR00003VAR00004VAR00005

/RESIDUALSDURBIN.

Regression

Notes

Output Created

18-Nov-2015 22:51:43

Comments

Input

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

666

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 COLLIN TOL

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT VAR00006

/METHOD=ENTER VAR00001 VAR00002 VAR00003 VAR00004 VAR00005

/RESIDUALS DURBIN.

Resources

Processor Time

00:00:00.094

Elapsed Time

00:00:00.063

Memory Required

2716 bytes

Additional Memory Required for Residual Plots

0 bytes

[DataSet1]

Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

1

Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)a

.

Enter

a. All requested variables entered.

b. Dependent Variable: Log BM(t)

Model Summaryb

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1

.730a

.532

.529

.16986

1.917

a. Predictors: (Constant), Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)

b. Dependent Variable: Log BM(t)

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

21.664

5

4.333

150.179

.000a

Residual

19.042

660

.029

Total

40.705

665

a. Predictors: (Constant), Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)

b. Dependent Variable: Log BM(t)

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

4.138

.390

10.618

.000

Log PAD(t-1)

-.001

.018

-.002

-.060

.952

.599

1.668

Log DBH(t-1)

.434

.019

.713

22.681

.000

.717

1.394

Log DAU(t-1)

.008

.032

.009

.251

.802

.590

1.696

Log (DAK(t-1)

.211

.032

.208

6.522

.000

.694

1.440

Log SiLPA(t-1)

.008

.003

.077

2.816

.005

.947

1.056

a. Dependent Variable: Log BM(t)

Collinearity Diagnosticsa

Model

Dimension

Eigenvalue

Condition Index

Variance Proportions

(Constant)

Log PAD(t-1)

Log DBH(t-1)

Log DAU(t-1)

Log (DAK(t-1)

Log SiLPA(t-1)

1

1

5.959

1.000

.00

.00

.00

.00

.00

.00

2

.038

12.487

.00

.00

.00

.00

.00

.97

3

.002

60.908

.01

.29

.14

.02

.05

.03

4

.001

78.686

.01

.51

.55

.01

.00

.00

5

.000

166.044

.03

.10

.00

.69

.81

.00

6

.000

172.315

.95

.10

.30

.28

.14

.00

a. Dependent Variable: Log BM(t)

Residuals Statisticsa

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

10.8302

12.0311

11.2265

.18049

666

Residual

-1.10943

1.15288

.00000

.16922

666

Std. Predicted Value

-2.196

4.457

.000

1.000

666

Std. Residual

-6.532

6.787

.000

.996

666

a. Dependent Variable: Log BM(t)

NPARTESTS

/K-S(NORMAL)=ZRE_1

/MISSINGANALYSIS.

NParTests

Notes

Output Created

18-Nov-2015 22:51:55

Comments

Input

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

666

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)=ZRE_1

/MISSING ANALYSIS.

Resources

Processor Time

00:00:00.015

Elapsed Time

00:00:00.016

Number of Cases Alloweda

196608

a. Based on availability of workspace memory.

[DataSet1]

One-Sample Kolmogorov-Smirnov Test

Standardized Residual

N

666

Normal Parametersa

Mean

.0000000

Std. Deviation

.99623351

Most Extreme Differences

Absolute

.043

Positive

.038

Negative

-.043

Kolmogorov-Smirnov Z

1.121

Asymp. Sig. (2-tailed)

.162

a. Test distribution is Normal.

REGRESSION

/MISSINGLISTWISE

/STATISTICSCOEFFOUTSRANOVA

/CRITERIA=PIN(.05)POUT(.10)

/NOORIGIN

/DEPENDENTabs_res

/METHOD=ENTERVAR00001VAR00002VAR00003VAR00004VAR00005.

Regression

Notes

Output Created

18-Nov-2015 22:52:06

Comments

Input

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

666

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 abs_res

/METHOD=ENTER VAR00001 VAR00002 VAR00003 VAR00004 VAR00005.

Resources

Processor Time

00:00:00.265

Elapsed Time

00:00:00.156

Memory Required

2700 bytes

Additional Memory Required for Residual Plots

0 bytes

[DataSet1]

Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

1

Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)a

.

Enter

a. All requested variables entered.

b. Dependent Variable: abs_res

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.114a

.013

.005

.74504

a. Predictors: (Constant), Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

4.795

5

.959

1.728

.126a

Residual

366.357

660

.555

Total

371.152

665

a. Predictors: (Constant), Log SiLPA(t-1), Log (DAK(t-1), Log DBH(t-1), Log PAD(t-1), Log DAU(t-1)

b. Dependent Variable: abs_res

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

.060

1.709

.035

.972

Log PAD(t-1)

.051

.078

.033

.655

.513

Log DBH(t-1)

.156

.084

.085

1.855

.064

Log DAU(t-1)

-.016

.142

-.006

-.110

.913

Log (DAK(t-1)

-.120

.142

-.039

-.848

.397

Log SiLPA(t-1)

-.006

.013

-.020

-.500

.617

a. Dependent Variable: abs_res