Good message, Alan --
As you indicate, the model is LINEAR in the coefficients b0, b1, b2, b3
and in the 4-D space of y,x1,x2,x3(i.e., x1*x2) the function lies in a PLANE.
But in the 3-D space of y,x1,x2 the surface is TWISTED ( not in
a PLANE).

-- Joe

----- Original Message ----- 
From: Alan McLean <[EMAIL PROTECTED]>
To: Wen-Feng Hsiao <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>
Sent: Sunday, April 16, 2000 4:01 PM
Subject: Re: linear model or interactive model?


| The model
| 
|      y = b0 + b1 * x1 + b2 * x2 + b3 * x1*x2
| 
| is a nonlinear model, just as in engineering. However, it is 'linear in the
| variables'. In statistics this is useful, because in estimating the model from a
| data set, one can define a 'new' variable x3 = x2*x2 and apply, for example, a
| linear regression algorithm.
| 
| But in interpreting the results you have to remember that the model is nonlinear!
| 
| Regards,
| Alan
| 
| 
| 
| 
| 
| Wen-Feng Hsiao wrote:
| 
| > Dear Hartig,
| >
| > Thanks for your reply. I am sorry for my poor knowledge in statistics.
| > But I wonder why the definition of 'linearity' of statistics is different
| > from that of engineering mathematics, which defines 'linear' as:
| >
| >  Each unknown xj appears to the first power only, and that there are no
| > cross product terms xi*xj with i!=j.
| >
| > Wen-Feng
| >
| > In article <[EMAIL PROTECTED]>,
| > [EMAIL PROTECTED] says...
| > > Generally, you can include an interaction (or moderator) term in a linear
| > > model, like
| > > y = b0 + b1 * x1 + b2 * x2 + b3 * x1*x2,
| > > and the model still is linear. If you decide not to include x1 and x2, like
| > > y = b0 + b1 * x1*x2,
| > > you still have a linear model.
| >
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| 
| --
| Alan McLean ([EMAIL PROTECTED])
| Department of Econometrics and Business Statistics
| Monash University, Caulfield Campus, Melbourne
| Tel:  +61 03 9903 2102    Fax: +61 03 9903 2007
| 
| 
| 
| 
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| people send inappropriate messages.  Please DO NOT COMPLAIN TO
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| 



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