Question : Refining an algebra formula

I'm trying to reverse engineer an algebra formula from a set of data that I have. The formula has 6 variables, A B C E D F G

This is the formula I have so far:

D = ( 0.5 + 0.0075 * A + 0.011 * B + 0.0196 * C) * F
E = (0.62 + 0.0192 * A + 0.00415 * B + 0.015 * C) * G

The F and G variables are constant and can't be changed. And the rest of the formula has to be multiplied against them, like in the above formula:
F = 5
G = 12

The variables for A B and C are in the spreadsheet. The variables of each row coincide with the D and E numbers of the same row. The D and E numbers are the result of the real formula that I'm trying to figure out.

In the spreadsheet, I entered in the above formula to show it's current calculation next to the real numbers. I need to change the numbers in the above formulas so that formula calculates the real numbers.

min-max-calc2.xls (78 KB) (File Type Details) 

min-maxcalc

Answer : Refining an algebra formula

From what you are saying, the rank is an external piece of information, and apparently, you already have the formula. So I don't see the problem. The linear regression doesn't use F at all. If you find the parameters 1, 2, 3, and 4:

    D = ( 1 + 2*A + 3*B + 4*C)

Then

    D = ( 1/F + 2/F * A + 3/F * B + 4/F * C ) * F

Just like I divided all number by five above. Does that help?

(°v°)