Multiple regression can be used to simultaneously consider all three independent map variables as a means to derive a better prediction equation.
In the more general multiple regression model, there are p independent variables:
The least square parameter estimates are obtained by p normal equations. The residual can be written as
The normal equations are ...
The statistical procedures most commonly used are stepwise multiple regression methods (including logistic regression) and stepwise discriminant function analysis.
Regression equations The multiple regression equations relate ellipsoidal latitude and longitude co-ordinates of continental size datums to those of the WGS84 datum and involve polynomial expressions in the two ellipsoidal co-ordinates which ...
 See also: Analysis, Area, Information, Model, GIS
  
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