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MultipleLinearRegressionAnalysis Properties |
The MultipleLinearRegressionAnalysis type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Array | Obsolete.
Source data used in the analysis.
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| ChiSquareTest |
Gets a Chi-Square Test between the expected outputs and the results.
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| Coefficients |
Gets the collection of coefficients of the model.
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| CoefficientValues |
Gets the value of each coefficient.
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| Confidences |
Gets the Confidence Intervals (C.I.)
for each coefficient found in the regression.
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| FTest |
Gets a F-Test between the expected outputs and results.
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| InformationMatrix |
Gets the information matrix obtained during learning.
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| Inputs |
Gets or sets the name of the input variables for the model.
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| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfSamples |
Gets the number of samples used to compute the analysis.
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| OrdinaryLeastSquares |
Gets or sets the learning algorithm used to learn the MultipleLinearRegression.
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| Output |
Gets or sets the name of the output variable for the model.
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| Outputs | Obsolete.
Gets the dependent variable value
for each of the source input points.
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| Regression |
Gets the Regression model created
and evaluated by this analysis.
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| Results | Obsolete.
Gets the resulting values obtained
by the linear regression model.
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| RSquareAdjusted |
Gets the adjusted coefficient of determination, as known as R² adjusted
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| RSquared |
Gets the coefficient of determination, as known as R²
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| Source | Obsolete.
Source data used in the analysis.
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| StandardError |
Gets the standard deviation of the errors.
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| StandardErrors |
Gets the Standard Error for each coefficient
found during the logistic regression.
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| Table |
Gets the ANOVA table for the analysis.
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| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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| ZTest |
Gets a Z-Test between the expected outputs and the results.
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See Also