According to the profitability evolution of real estate development projects, it is necessary and meaningful to conduct an analysis of the development mode of the real estate using some quantitative and empirical methods. To achieve this goal, a full-cycle index model (FCIM) of real estate development and construction investment is used to generate a series of data at first, which includes 40 samples (key factors) with their internal rate of return (IRR) of what as the output and 38 influencing factors as the input. In addition, three strategies (i.e., correlation, representativeness of dimensions and bottom of factors) are applied to filter the sample data and thus getting 10 key influencing factors of the IRR. Then, a regression model that treats IRR as the output and key influencing factors as the input is constructed to determine the weights of these factors. Finally, multiple combinations of factors with higher weights are considered to lead to the innovation basis for the real estate development mode. In conclusion, three factors have the strongest impacts on IRR: land transfer fee, sales promotion, and stamp tax and three development modes referring to different real estate enterprises are summarized, which are L&H Mode, L&P Mode, and H&B Mode.