Package dk.alexandra.fresco.stat.regression.linear

Class LinearRegression.LinearRegressionResult

Object

LinearRegressionResult

Enclosing class:

LinearRegression

public static class LinearRegression.LinearRegressionResult
extends Object

Method Summary

Modifier and Type	Method	Description
List<DRes<SFixed>>	getBeta()	Estimates for the coefficients
DRes<SFixed>	getErrorVariance()	The regression error variance (s2) which is equal to the regression standard error squared
DRes<SFixed>	getRSquared()	The coefficient of determination (R2)
List<DRes<SFixed>>	getStdErrorsSquared()	Standard errors (squared) for each coefficient estimate

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

getBeta

public List<DRes<SFixed>> getBeta()

Estimates for the coefficients

getErrorVariance

public DRes<SFixed> getErrorVariance()

The regression error variance (s²) which is equal to the regression standard error squared

getRSquared

public DRes<SFixed> getRSquared()

The coefficient of determination (R²)

getStdErrorsSquared

public List<DRes<SFixed>> getStdErrorsSquared()

Standard errors (squared) for each coefficient estimate