GeneralLinear.MeanSquaresRegression Method 

Evaluates the mean square due to regression (MSR) for the (multi-linear) regression considered.

Return Value

The mean square due to regression (MSR).

Remarks

Further Details

The notion MSR is simply the sum of the squares due to regression (SSR) which can be evaluated using SumSquaresRegression, divided by the number of degrees of freedom which here is the number of independent variables within the regression model.

Preconditions

Please note that before this method is called you must have already performed the following tasks:

1. Set the Fitting Function using SetFunctionBasis
2. Fit the function using SetGeneralFit

See Also

GeneralLinear Class | WebCab.COM.Statistics.CurveFitting Namespace