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* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=CCI WITH fck /CONSTANT /MODEL=LINEAR LOGARITHMIC INVERSE QUADRATIC CUBIC COMPOUND POWER S GROWTH EXPONENTIAL /PRINT ANOVA /PLOT FIT. Curve Fit [DataSet1] C:\Users\user3\Desktop\Data.sav Model Name 1 1 2 3 4 5 6 7 8 9 10 Independent Variable Constant Variable Whose Values Label Observations in Plots Tolerance for Entering Terms in Equations Dependent Variable Equation 1.0E-4 Unspecified Included fck Exponential a Growth a S a Power a Compound a Cubic Quadratic Inverse Logarithmic Linear CCI MOD_12 Model Description a. The model requires all non-missing values to be positive. N Total Cases Excluded Cases a Forecasted Cases Newly Created Cases 0 0 4 10 Case Processing Summary a. Cases with a missing value in any variable are excluded from the analysis. Page 1

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* Curve Estimation.TSET NEWVAR=NONE.CURVEFIT /VARIABLES=CCI WITH fck /CONSTANT /MODEL=LINEAR LOGARITHMIC INVERSE QUADRATIC CUBIC COMPOUND POWER S GROWTH EXPONENTIAL /PRINT ANOVA /PLOT FIT.

Curve Fit

[DataSet1] C:\Users\user3\Desktop\Data.sav

Model Name112345678910

Independent VariableConstantVariable Whose Values Label Observations in Plots

Tolerance for Entering Terms in Equations

Dependent VariableEquation

1.0E-4

Unspecified

IncludedfckExponentialaGrowthaSaPoweraCompound aCubicQuadraticInverseLogarithmicLinearCCIMOD_12

Model Description

a. The model requires all non-missing values to be positive.

NTotal CasesExcluded Cases a

Forecasted CasesNewly Created Cases 0

04

10

Case Processing Summary

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

Page 1

CCI fckIndependentDependent

Variables

Number of Positive Values

Number of ZerosNumber of Negative Values

User-MissingSystem-Missing

Number of Missing Values

4400

00

00

66

Variable Processing Summary

CCI

Linear

Std. Error of the Estimate

Adjusted R SquareR SquareR

.090.409.527.726

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.068

.0084.032.1024.458.0361.036

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fck(Constant) .0018.440.1631.373

.102-2.111-.726.004-.008

Coefficients

Logarithmic

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.068

.0084.032.1004.556.0361.036

ANOVA

The independent variable is fck.

Page 2

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

ln(fck)(Constant) .0163.980.5612.233

.100-2.134-.730.152-.324

Coefficients

Inverse

Std. Error of the Estimate

Adjusted R SquareR SquareR

.090.408.527.726

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.068

.0084.032.1034.449.0361.036

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

1 / fck(Constant) .0104.670.155.722

.1032.109.7265.84712.332

Coefficients

Quadratic

Std. Error of the Estimate

Adjusted R SquareR SquareR

.102.231.538.734

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegression .3141.750.0182.037

ANOVA

The independent variable is fck.

Page 3

Sig.FMean SquaredfSum of

SquaresResidualTotal 5.068

.0103.031

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fckfck ** 2(Constant) .2021.6271.0101.643

.803.2721.252.001.000

.697-.429-1.973.051-.022

Coefficients

Cubic

Std. Error of the Estimate

Adjusted R SquareR SquareR

.102.237.542.736

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.068

.0103.031.3101.776.0182.037

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fckfck ** 3(Constant) .1052.303.6861.581

.774.314.737.0001.568E-6

.580-.619-1.453.026-.016

Coefficients

Compound

Page 4

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.064

.0084.031.1064.322.0331.033

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fck(Constant) .0036.269.2281.427

.000265.378.486.004.992

Coefficients

The dependent variable is ln(CCI).

Power

Std. Error of the Estimate

Adjusted R SquareR SquareR

.088.404.523.723

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.064

.0084.031.1044.383.0341.034

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

ln(fck)(Constant) .1441.8141.8013.267

.104-2.094-.723.149-.312

Coefficients

The dependent variable is ln(CCI).

S

Page 5

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.064

.0084.031.1084.253.0331.033

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

1 / fck(Constant) .148-1.791.152-.272

.1082.062.7185.75311.865

Coefficients

The dependent variable is ln(CCI).

Growth

Std. Error of the Estimate

Adjusted R SquareR SquareR

.088.399.519.721

Model Summary

The independent variable is fck.

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.064

.0084.031.1064.322.0331.033

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fck(Constant) .0902.228.160.355

.106-2.079-.721.004-.008

Coefficients

The dependent variable is ln(CCI).

Exponential

Page 6

Sig.FMean SquaredfSum of

SquaresRegressionResidualTotal 5.064

.0084.031.1064.322.0331.033

ANOVA

The independent variable is fck.

Std. ErrorB Beta Sig.t

Standardized CoefficientsUnstandardized Coefficients

fck(Constant) .0036.269.2281.427

.106-2.079-.721.004-.008

Coefficients

The dependent variable is ln(CCI).

fck55.0050.0045.0040.0035.0030.0025.00

1.30

1.20

1.10

1.00

0.90

0.80

CCI

ExponentialGrowthSPowerCompoundCubicQuadraticInverseLogarithmicLinearObserved

Page 7