A "Cobb–Douglas" production function relates production (Q) to factors of production, capital (K), labor (L), and raw materials (M), and an error term u using the equation Q = lKb1 Lb2 Mb3 eu, where l, b1, b2, and b3 are production parameters. Suppose that you have data on production and the factors of production from a random sample of firms with the same Cobb– Douglas production function. How would you use regression analysis to estimate the production parameters?