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.