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

Public NotInheritable Class LinearRegressionResult
	Inherits GeneralLinearRegressionResult

public ref class LinearRegressionResult sealed : public GeneralLinearRegressionResult

[<SealedAttribute>]
type LinearRegressionResult =  
    class
        inherit GeneralLinearRegressionResult
    end

The LinearRegressionResult type exposes the following members.

Properties

	Name	Description
	Anova	Gets an ANOVA analysis of the regression. (Inherited from GeneralLinearRegressionResult.)
	F	Gets an F-test for the regression. (Inherited from GeneralLinearRegressionResult.)
	Intercept	Gets an estimate, with uncertainty, of the intercept of the line. (Overrides GeneralLinearRegressionResultIntercept.)
	Parameters	Gets the parameters of the regression. (Inherited from FitResult.)
	R	Gets the Pearson R test of linear correlation.
	Residuals	Gets a list of the residuals of the fit. (Overrides ResidualsResultResiduals.)
	RSquared	Gets r² for the regression. (Inherited from GeneralLinearRegressionResult.)
	Slope	Gets an estimate, with uncertainty, of the slope of the line.
	SumOfSquaredResiduals	Gets the sum of the squares of all residuals. (Overrides GeneralLinearRegressionResultSumOfSquaredResiduals.)

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Predict	Predicts the Y value at a new X value.
	ToString	Returns a string that represents the current object. (Inherited from Object.)