Posted by statstudent on Wednesday, August 29, 2007 at 12:15pm.
I'm trying to work through the proof for
SST = SSM + SSE
MEAN = ∑(X)/N
SST = ∑((x  MEAN)^2)
= ∑(x^2  2 * x1 * MEAN + MEAN^2)
= ∑(x^2)  2 * MEAN * ∑(x) + N * MEAN^2
= ∑(x^2)  2 * ∑(x)^2/N + ∑(x)^2/N
= ∑(x^2)  ∑(x)^2/N
SSM = ∑((MODEL  MEAN)^2)
= ∑(MODEL^2  2 * MODEL * MEAN + MEAN^2)
= ∑(MODEL^2)  2 * MEAN * ∑(MODEL) + N * MEAN^2
= ∑(MODEL^2)  2 * MEAN * ∑(MODEL) + N * MEAN^2
= ∑(MODEL^2)  2/N * ∑(x) * ∑(MODEL) + ∑(x)^2/N
SSE = ∑((x  MODEL)^2)
= ∑(x^2  2 * x * MODEL + MODEL^2)
= ∑(x^2)  2 * ∑(x * MODEL) + ∑(MODEL^2)
SST = SSM + SSE
∑(x^2)  ∑(x)^2/N = ∑(MODEL^2)  2/N * ∑(x) * ∑(MODEL) + ∑(x)^2/N + ∑(x^2)  2 * ∑(x * MODEL) + ∑(MODEL^2)
2 * ∑(MODEL^2)  2/N * ∑(x) * ∑(MODEL) + 2 * ∑(x)^2/N +  2 * ∑(x * MODEL) = 0
∑(MODEL^2)  1/N * ∑(x) * ∑(MODEL) + ∑(x)^2/N +  ∑(x * MODEL) = 0
I can't complete the proof. What am I missing? Thanks!

statistics  Count Iblis, Wednesday, August 29, 2007 at 1:21pm
Divide the sum of squares by N and work with the averages. Let's use the notation:
<X> for the average of X. E.g.:
<X> = ∑(X)/N = Mean
And:
<(X<X>)^2> =
<X^2  2X<X> + <X>^2> =
<X^2>  <X>^2
Note that <a X> = a <X> for a constant factor a. In an average like <X <X>>, the inner <X> is a constant when carrying out the outer average, so you can take it out of the outer average sign. So, you have <X <X>> = <X>^2. The average of a constant is, of course, the same constant so e.g. <<X>^2> = <X^2> because once the inner average is carried out it is a constant w.r.t. the outer average.
If you work with averages and use these rules then you can derive the desired result in just one line. If you use summations, you'll tend to rederive these rules in every step you make, so you'll get a complicated mess.
Derivation:
<(X  <X>)^2> =
<(X  m + m  <X>)^2> =
<(Xm)^2> + <(m  <X>)^2>
+ 2 <Xm><m<X>>
The last term is zero if the average of X equals the average of the Model. 
statistics  statstudent, Wednesday, August 29, 2007 at 3:31pm
I don't follow this:
<<X>^2> = <X^2>
Of course, if k is constant and x is variable:
<kx> = k<x>
<k> = k
<k^2> = k^2
but...
<x^2> != <x>^2 
statistics  Count Iblis, Wednesday, August 29, 2007 at 4:06pm
Sorry, that was a typo.
I meant to write:
<<X>^2> = <X>^2 
statistics  statstudent, Wednesday, August 29, 2007 at 5:11pm
I don't follow this at all:
<(X  m + m  <X>)^2> = <(Xm)^2> + <(m  <X>)^2> + 2 <Xm><m<X>>
Trying to follow your logic, for the left side:
<(X  m + m  <X>)^2>
= <(X  <X>)^2>
= <x^2>  <x>^2
= SST
For SSM + SSE:
<(x  m>^2> + <(m  <x>)^2>
= <x^2  2xm + m^2> + <m^2  2m<x> + <x>^2>
= <x^2>  2<xm> + <m^2> + <m^2>  2<m><x> + <x>^2>
= 2<x^2> + 2<m^2>  2<xm>  2<m><x>
And I'm stuck...