*CurveEstimation.TSETNEWVAR=NONE.CURVEFIT/VARIABLES=ANGLEWITHLL/CONSTANT/MODEL=LINEARLOGARITHMICINVERSEQUADRATICCUBICCOMPOUNDPOWERSGROWTHEXPONENTIALLGSTIC/PRINTANOVA/PLOTFIT.
CurveFit
NotesOutput Created24-Oct-2014 06:42:54Comments
InputActive DatasetDataSet0
Filter
Weight
Split File
N of Rows in Working Data File5Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.
Cases UsedCases with a missing value in any variable are not used in the analysis.SyntaxCURVEFIT /VARIABLES=ANGLE WITH LL /CONSTANT /MODEL=LINEAR LOGARITHMIC INVERSE QUADRATIC CUBIC COMPOUND POWER S GROWTH EXPONENTIAL LGSTIC /PRINT ANOVA /PLOT FIT.
ResourcesProcessor Time00:00:00.375
Elapsed Time00:00:00.250UseFromFirst observation
ToLast observationPredictFromFirst Observation following the use period
ToLast observationTime Series Settings (TSET)Amount of OutputPRINT = DEFAULT
Saving New VariablesNEWVAR = NONE
Maximum Number of Lags in Autocorrelation or Partial Autocorrelation PlotsMXAUTO = 16
Maximum Number of Lags Per Cross-Correlation PlotsMXCROSS = 7
Maximum Number of New Variables Generated Per ProcedureMXNEWVAR = 60
Maximum Number of New Cases Per ProcedureMXPREDICT = 1000
Treatment of User-Missing ValuesMISSING = EXCLUDE
Confidence Interval Percentage ValueCIN = 95
Tolerance for Entering Variables in Regression EquationsTOLER = .0001
Maximum Iterative Parameter ChangeCNVERGE = .001
Method of Calculating Std. Errors for AutocorrelationsACFSE = IND
Length of Seasonal PeriodUnspecified
Variable Whose Values Label Observations in PlotsUnspecified
Equations IncludeCONSTANT
[DataSet0]
Model DescriptionModel NameMOD_13Dependent Variable1ANGLEEquation1Linear
2Logarithmic
3Inverse
4Quadratic
5Cubic
6Compounda
7Powera
8Sa
9Growtha
10Exponentiala
11LogisticaIndependent VariableLLConstantIncludedVariable Whose Values Label Observations in PlotsUnspecifiedTolerance for Entering Terms in Equations.0001a. The model requires all non-missing values to be positive.
Case Processing Summary
NTotal Cases5Excluded Casesa0Forecasted Cases0Newly Created Cases0a. Cases with a missing value in any variable are excluded from the analysis.
Variable Processing Summary
Variables
DependentIndependent
ANGLELLNumber of Positive Values55Number of Zeros00Number of Negative Values00Number of Missing ValuesUser-Missing00
System-Missing00
ANGLE
Linear
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.020.000-.3333.293The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0131.013.001.975Residual32.532310.844
Total32.5444
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL.022.658.020.034.975(Constant)31.61035.640
.887.440
Logarithmic
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.017.000-.3333.293The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0091.009.001.979Residual32.535310.845
Total32.5444
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
ln(LL)1.04735.890.017.029.979(Constant)28.651143.243
.200.854
Inverse
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.014.000-.3333.293The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0061.006.001.982Residual32.538310.846
Total32.5444
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
1 / LL-46.7041954.997-.014-.024.982(Constant)33.69236.194
.931.421
Quadratic
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.120.014-.9714.005The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.4662.233.015.986Residual32.079216.039
Total32.5444
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL-5.68633.976-4.991-.167.882LL ** 2.052.3115.012.168.882(Constant)187.365927.719
.202.859
Cubic
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.118.014-.9724.006The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.4522.226.014.986Residual32.093216.046
Total32.5444
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL-2.80917.138-2.465-.164.885LL ** 3.000.0022.488.165.884(Constant)134.572624.110
.216.849
Excluded Terms
Beta IntSig.Partial CorrelationMinimum ToleranceLL ** 2a1.469E41.380.399.810.000a. The tolerance limit for entering variables is reached.
Compound
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.024.001-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.002.969Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL1.001.0211.02448.441.000(Constant)31.24034.951
.894.437The dependent variable is ln(ANGLE).
Power
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.020.000-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.001.974Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
ln(LL).0401.127.020.035.974(Constant)27.911125.508
.222.838The dependent variable is ln(ANGLE).
S
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.017.000-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.001.979Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
1 / LL-1.78061.373-.017-.029.979(Constant)3.5211.136
3.099.053The dependent variable is ln(ANGLE).
Growth
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.024.001-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.002.969Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL.001.021.024.042.969(Constant)3.4421.119
3.076.054The dependent variable is ln(ANGLE).
Exponential
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.024.001-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.002.969Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL.001.021.024.042.969(Constant)31.24034.951
.894.437The dependent variable is ln(ANGLE).
Logistic
Model SummaryRR SquareAdjusted R SquareStd. Error of the Estimate.024.001-.333.103The independent variable is LL.
ANOVA
Sum of SquaresdfMean SquareFSig.Regression.0001.000.002.969Residual.0323.011
Total.0324
The independent variable is LL.
Coefficients
Unstandardized CoefficientsStandardized CoefficientstSig.
BStd. ErrorBeta
LL.999.021.97648.441.000(Constant).032.036
.894.437The dependent variable is ln(1 / ANGLE).
