Significant multiple regression algorithm of construction occupation based on micro-optical characteristics and matrix correlation degree
Na Lu1, Tianyan Wu2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 171-178
1School of economics and management, Tongji University, Shanghai, China
2School of Urban Construction and Safety engineering, Shanghai Institute of Technology, Shanghai, China
In order to research whether the career plateau is negatively related to organizational identification and engagement, whether organizational identification has a positive correlation on engagement, and whether the career plateau has an intermediary role between organizational identity and engagement. The significant theoretical analysis is first introduced into the construction industry organizational behaviour’s the relationship model among occupational plateau, organizational identification and engagement, which uses linear regression method to achieve significant computing, and in the analysis of intermediary role the introduced genetic algorithm can accelerate the convergence and cross speed of the calculation. Then, the use of VC program designs the assumptions parametric and algorithmic of significant test, and using the data interface of VC and MATLAB will directly call MATLAB program in VC, finally through the MATLAB program to realize the linear regression analysis, so as to greatly improve the efficiency and accuracy of data analysis.