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LinearRegressionResult Class

Describes the result of a linear regression fit.
Inheritance Hierarchy

Namespace:  Meta.Numerics.Statistics
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4
Syntax
public sealed class LinearRegressionResult : GeneralLinearRegressionResult

The LinearRegressionResult type exposes the following members.

Properties
  NameDescription
Public propertyAnova
Gets an ANOVA analysis of the regression.
(Inherited from GeneralLinearRegressionResult.)
Public propertyF
Gets an F-test for the regression.
(Inherited from GeneralLinearRegressionResult.)
Public propertyIntercept
Gets an estimate, with uncertainty, of the intercept of the line.
(Overrides GeneralLinearRegressionResultIntercept.)
Public propertyParameters
Gets the parameters of the regression.
(Inherited from FitResult.)
Public propertyR
Gets the Pearson R test of linear correlation.
Public propertyResiduals
Gets a list of the residuals of the fit.
(Overrides ResidualsResultResiduals.)
Public propertyRSquared
Gets r2 for the regression.
(Inherited from GeneralLinearRegressionResult.)
Public propertySlope
Gets an estimate, with uncertainty, of the slope of the line.
Public propertySumOfSquaredResiduals
Gets the sum of the squares of all residuals.
(Overrides GeneralLinearRegressionResultSumOfSquaredResiduals.)
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Methods
  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodPredict
Predicts the Y value at a new X value.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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See Also