@35673g3eb%64

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* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=OPI1 WSI1 CCI1 WITH fc1 /CONSTANT /MODEL=QUADRATIC /PRINT ANOVA /PLOT FIT. Curve Fit [DataSet1] G:\DATA.sav Model Name 1 2 3 1 Independent Variable Constant Variable Whose Values Label Observations in Plots Tolerance for Entering Terms in Equations Dependent Variable Equation .0001 Unspecified Included fc1 Quadratic CCI1 WSI1 OPI1 MOD_3 Model Description N Total Cases Excluded Cases a Forecasted Cases Newly Created Cases 0 0 6 9 Case Processing Summary a. Cases with a missing value in any variable are excluded from the analysis. Page 1

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Page 1: @35673g3eb%64

* Curve Estimation.

TSET NEWVAR=NONE.

CURVEFIT

/VARIABLES=OPI1 WSI1 CCI1 WITH fc1

/CONSTANT

/MODEL=QUADRATIC

/PRINT ANOVA

/PLOT FIT.

Curve Fit

[DataSet1] G:\DATA.sav

Model Name

1

2

3

1

Independent Variable

Constant

Variable Whose Values Label Observations in Plots

Tolerance for Entering Terms in Equations

Dependent Variable

Equation

.0001

Unspecified

Included

fc1

Quadratic

CCI1

WSI1

OPI1

MOD_3

Model Description

N

Total Cases

Excluded Casesa

Forecasted Cases

Newly Created Cases 0

0

6

9

Case Processing Summary

a. Cases with a missing value in any variable are excluded from the analysis.

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CCI1WSI1OPI1

Dependent

Variables

Number of Positive Values

Number of Zeros

Number of Negative Values

User−Missing

System−Missing

Number of Missing Values

666

000

000

000

333

Variable Processing Summary

fc1

Independent

Variables

Number of Positive Values

Number of Zeros

Number of Negative Values

User−Missing

System−Missing

Number of Missing Values

6

0

0

0

3

Variable Processing Summary

OPI1

Quadratic

Std. Error of the Estimate

Adjusted R SquareR SquareR

..1.0001.000

Model Summary

The independent variable is fc1.

Sig.FMean SquaredfSum of

Squares

Regression

Residual

Total 2.000

.0.000

...0002.000

ANOVA

The independent variable is fc1.

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Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fc1

fc1 ** 2

(Constant) ...0009.492

..6.875.0004.405E−5

..−6.018.000−.003

Coefficients

fc1

55.0050.0045.0040.0035.0030.0025.00

9.450

9.448

9.446

9.444

9.442

9.440

OPI1

QuadraticObserved

WSI1

Quadratic

Std. Error of the Estimate

Adjusted R SquareR SquareR

..1.0001.000

Model Summary

The independent variable is fc1.

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Sig.FMean SquaredfSum of

Squares

Regression

Residual

Total 2.336

.0.000

...1682.336

ANOVA

The independent variable is fc1.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fc1

fc1 ** 2

(Constant) ...0004.015

..−7.126.000−.003

..6.283.000.228

Coefficients

fc1

55.0050.0045.0040.0035.0030.0025.00

8.00

7.80

7.60

7.40

7.20

WSI1

QuadraticObserved

CCI1

Quadratic

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Std. Error of the Estimate

Adjusted R SquareR SquareR

..1.0001.000

Model Summary

The independent variable is fc1.

Sig.FMean SquaredfSum of

Squares

Regression

Residual

Total 2.023

.0.000

...0112.023

ANOVA

The independent variable is fc1.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fc1

fc1 ** 2

(Constant) ...000.798

..−3.091.000.000

..2.113.000.020

Coefficients

fc1

55.0050.0045.0040.0035.0030.0025.00

1.10

1.05

1.00

.95

.90

.85

CCI1

QuadraticObserved

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