Here is regression analysis for two transformed variables, ln(x) and ln(y). Regression analysis: l n (y) versus l n (x). Constant: Coefficient, 5.24; S E coefficient, 0.14; T, 37.43; P, 0.000. l n (x): Coefficient, 0.9; S E coefficient, 0.05; T, 188; P, 0.000. s = 0.35, R-square = 0.99, r-square adjusted = 0.99. Identify the least-squares regression equation that models the relationship between x and ln(y). l n (y) hat = 0.05 + 0.14 (x). l n (y) hat = 0.14 + 0.05 (x). l n (y) hat = 5.24 + 0.9 (x). l n (y) hat = 0.9 + 5.24 (x).