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LinearRegressionAnova Class

Class LinearRegressionAnova tests overall model significance for linear regressions computed by class LinearRegression.
Inheritance Hierarchy

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
public class LinearRegressionAnova : ICloneable

The LinearRegressionAnova type exposes the following members.

Public methodLinearRegressionAnova(LinearRegression) Constructs a LinearRegressionAnova instance for the given linear regression.
Public methodLinearRegressionAnova(DoubleMatrix, DoubleVector, DoubleVector, DoubleVector) Construct a linear model ANOVA from the data, calculated parameters and optional weights.
Public propertyAdjustedRsquared Gets the adjusted coefficient of determination.
Public propertyErrorDegreesOfFreedom Gets the number of degrees of freedom for the model error.
Public propertyFStatistic Gets the overall F statistic for the model.
Public propertyFStatisticPValue Gets the p-value for the F statistic.
Public propertyMeanSquaredRegression Gets the mean squared for the regression.
Public propertyMeanSquaredResidual Gets the mean squared residual.
Public propertyModelDegreesOfFreedom Gets the number of degrees of freedom for the model.
Public propertyRegressionSumOfSquares Gets the regression sum of squares.
Public propertyResidualSumOfSquares Gets the residual sum of squares.
Public propertyRSquared Gets the coefficient of determination.
Public methodClone Creates a deep copy of this LinearRegressionAnova.
Public methodFStatisticCriticalValue Computes the critical value for the F statistic at the given signicance level.
See Also