Construction and Application of Multiple Linear Regression Model for Construction Project Cost

Abstract

In order to improve the accuracy of construction project cost budget, based on the previous research, this paper introduces the multiple linear analysis method, constructs a regression model, and uses the model to budget the project cost. The model contains 16 factors. SPSS software is used for weight statistical analysis to extract 4 common factors to improve the structure of the regression model. The reliability of the model is tested by application analysis. The quoted results show that the maximum budget deviation rate is 4.80%, which is within 10%. Therefore, the model can be used as an effective tool for project cost analysis and popularized in the construction field.