# will this methodology end up giving me a nonsense regression equation.

I'm wondering if this is a valid methodology to find the best regression equation for a given data set.

User provides a rang of estimated value for some set of variables. Th algorithm uses the given range to randomly generate a large number of regression equations like the one bellow.
Price = actualValue1* estimatedValue1 + actualValue2* estimatedValue2;

We solve them all for price and pick the best one as regression equation. Will this methodology give us a valid regression equation or will it just find some random set of estimated values That happens to give a price that is close to the actual price?

PS. I've taken stats but I'm not a statistician So I'm in a little over my head here. If I need to clarify something please let me know.

• Can you give a precise mathematical description of your question, specifying exactly what is being done? The trouble with plain English text descriptions is that they leave quite a bit of room for ambiguity and guesswork, making questions harder to answer. – Kirill Sep 15 '17 at 14:12