LinearRegressionResult Class

Describes the result of a linear regression fit.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public sealed class LinearRegressionResult : GeneralLinearRegressionResult

VB

Public NotInheritable Class LinearRegressionResult
	Inherits GeneralLinearRegressionResult

C++

public ref class LinearRegressionResult sealed : public GeneralLinearRegressionResult

F#

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

Inheritance: Object FitResult ResidualsResult GeneralLinearRegressionResult LinearRegressionResult

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)

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)