hypothesis testing comparing 2 multiple regression models

Hi guys, I beg u to help me with this:

Currently I have 2 models

y1 = a1*x1 + b1*z1 + c1

y2 = a2*x2 + b2*z2 + c2

y1 is taken from 18 data samples.

y2 is taken from 72 data samples.

I want to perform null hypthesis as a1 = a2, b1=b2, c1=c2.

My goal is to show that first model is different than second model.

Do u know some links or books that can be useful to me?

or maybe u can help me to figure out what I should do.....

Thanks so much.... I'm so desperate with this...

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I couldn't find any relevant examples for this problem

Usually... the example is only

y1 = a1*x1 + c1

y2 = a2*x2 + c2

with null hypothesis, a1 = a2, c1 = c2.

And it's not sufficient for my case....

or the other pupolar example is

y = a*x1 + b*x2 + c*x3 + d*x4

with null hypothesis, a = b.

And it's not sufficient for my case....

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I used R statistical package to provide the model.

But after that I'm lost.....

Thanks for your big help

Thanks, by the way, how do we get RSS?

Quote:

Originally Posted by

**JakeD**

Wow, thanks guys... I appreciated much...

This is my 100% project testing... thx so much.

Yup, chow test is very acceptable in this case:)

By the way... how do we get RSS?

is RSS = RSS1 + RSS2 in this case?

Thanks Bro, God bless