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CHAPTER 8

MULTIPLE REGRESSION



8.4
For each of two models give the following points
(a)
Centering predictors: (5 points)
(b)
Model interpretation: (10 points)

(c)
Model assessment: (10 points)

(d)
Plots: (10 points)

Also, give (10 points) for model comparison. Thus the total points on this problem are (80 points).

As an example of how the problem might be solved, two possible models (using centered predictors CPH and CDAYS) are:

Model 2 is preferred because of $R^2~R^2_a~\mbox{ and}~ MSE$.

8.6
R2=0.6568.

8.8
The VIFs all equal 1.0, so there is no multicollinearity at all. The previous conclusions are unchanged.


 
Figure 1:   SAS/INSIGHT output, additive model, lead data.
\begin{figure}
\centerline{
\psfig {file=exsoln8_1.eps,height=7in,width=5in}
}
\vspace{2ex}\end{figure}


 
Figure 2:   Studentized residual plots, additive model, lead data.
\begin{figure}
\centerline{
\psfig {file=exsoln8_2.eps,height=3.5in,width=5in}
}
\vspace{2ex}\end{figure}


 
Figure 3:   SAS/INSIGHT output, interaction model, lead data.
\begin{figure}
\centerline{
\psfig {file=exsoln8_3.eps,height=7in,width=5in}
}
\vspace{2ex}\end{figure}


 
Figure 4:   Studentized residual plots, interaction model, lead data.
\begin{figure}
\centerline{
\psfig {file=exsoln8_4.eps,height=3.5in,width=5in}
}
\vspace{2ex}\end{figure}

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The translation was initiated by Joseph D Petruccelli on 12/9/1999


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Joseph D Petruccelli
12/9/1999