This paper focuses on four indicators for different startups: R&D spending, marketing spending, administration spending, and profit. First, in the multiple linear regression of the original variables on profit, the presence of Collinearity between R&D and market spending only led to a single linear regression between R&D spending and profit. Then, factor analysis concluded two factors that resolved the Collinearity and allowed a better multiple linear regression. Moreover, the significant differences between startups with large and small profits for different spending were analyzed using comparative analysis. It concluded that different R&D and marketing spending made significant differences between startups' profit, but not for administration spending. Finally, the Normal distribution, ANOVA, and Non-parametric tests prove that there is no significant difference between different spending and profits among different regions, which shows the homogeneity of the development of different geographical startups. All these analyses can help startup entrepreneurs to generate profits better.