yyttr2
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I just thought I would share this, I was about to ask you fine people how to do this when I realized the square root of the sum of progressive to regressive data equals the highest point.
I.E.
1+2+3+4+5+6+5+4+3+2+1=36
6^{2}=36
and I tried this a few times and the results were the same.
so then I began to think what if the pattern is not in intervals of 1.
0+2+4+6+8+10+8+6+4+2+0=50
which is 10^{2}/2
I JUMPED FOR JOY!
so we can say
the sum of all numbers that progress and then regress is equal to the point of regression squared divided by the average change.
\frac{R^{2}_{p}}{\bar{\Delta}}
so... I am just working on this while I type now.
If we make the numbers non-uniform...such as: 1+2+4+5+6+8+9+7+6+5+3+2+0 which is 1,2,1,2,1,2,1,2... instead of the normal 1,1,1,1 or 2,2,2,2,2..
1+2+4+5+6+8+9+7+6+5+3+2+0=58
I have been working on this for a while now...no luck..any help?
I.E.
1+2+3+4+5+6+5+4+3+2+1=36
6^{2}=36
and I tried this a few times and the results were the same.
so then I began to think what if the pattern is not in intervals of 1.
0+2+4+6+8+10+8+6+4+2+0=50
which is 10^{2}/2
I JUMPED FOR JOY!
so we can say
the sum of all numbers that progress and then regress is equal to the point of regression squared divided by the average change.
\frac{R^{2}_{p}}{\bar{\Delta}}
so... I am just working on this while I type now.
If we make the numbers non-uniform...such as: 1+2+4+5+6+8+9+7+6+5+3+2+0 which is 1,2,1,2,1,2,1,2... instead of the normal 1,1,1,1 or 2,2,2,2,2..
1+2+4+5+6+8+9+7+6+5+3+2+0=58
I have been working on this for a while now...no luck..any help?