In order to reduce the computational burden of parameters sensitivity analysis in airliner conceptual design and realize the truetime indication of analysis results, a surrogatemodel method for comprehensive analysis of airliner performance is investigated. Firstly, determine design variables and objective parameters as well as select suitable multidimensional design space. Secondly, the sample points in design space are selected with Opt LHD (Optimal Latin hypercube design) method, and are analyzed by an airliner conceptual multidisciplinary analysis code to obtain a series of required objective parameters. A secondorder polynomial response surface is used to construct the surrogatemodel to replace the multidisciplinary analysis code. Finally, various kinds of diagrams are generated using this surrogatemodel to reflect influence of conceptual parameters toward objective parameters. An example of parameters sensitivity analysis for a certain airliner conceptual design is used to verify the method. The results show that the surrogatemodel accuracy is very satisfied when sample points are around 15 times number of design parameters, and the impacts of major design parameters on airliner performance can be depicted simultaneously with tendency chart, surface chart, and Pareto chart.