| dc.description.abstract | The procedurs for multiple regression to obtained a solution b = (XT
X)-1 (XT
Y), of the
normal equation XT Xb = (XT
Y), it is necessary that XT X be a nonsingular mattrix. All
this means in practise is that the normal equations must involve as many independent
equations as there are parameters to be estimated. If data are obtaned from a designed
experiment, however, some case is needed to check that all the normal equations are
independent, or if they are not, take steps to obtained stimated just the same.
Multiple Regression approach can be used for solving Analysis of Variance problem,
whether of one way or two ways ANOVA. In ANOVA, model is an important factor.
This study focus on two ways classifications ANOVA with regression approach for
solving the fixed effect model. it can be done if the model is identified truly and if the
preventive procedure have been done so an independent normal equation has been.A
characteristic of ANOVA is that the analysis model is overparameterized, so have to
made constraint for parameters.
In the Multiple Regression model approach for ANOVA problem, the independent
variable X at categorical from 0 and 1 or have to make dummy variables at row and
colomn factors. | en_US |
