| Hu Chunyan,Hu Liangping,Reasonably carry out multivariate analysis： multivariate multiple linear regression analysis[J].SICHUAN MENTAL HEALTH,2024,37(S1):1-6 |
| Reasonably carry out multivariate analysis： multivariate multiple linear regression analysis |
DOI：10.11886/scjsws20230830001 |
| English keywords:Multivariate multiple linear regression analysis Ordinary least squares method Partial least squares method Principal component analysis Canonical correlation analysis |
| Fund projects: |
|
| Hits: |
| Download times: |
| English abstract: |
| The purpose of this article was to introduce the basic concepts， calculation methods， two examples and SAS implementation related to the multivariate multiple linear regression analysis. Basic concepts included multivariate multiple regression analysis， ordinary least squares， partial least squares， principal component analysis and canonical correlation analysis. The calculation methods involved data preparation and implementation steps. The data in the two examples were "measurement results of body morphology indicators and functional indicators of Han male students" and "measurement results of physical shape and health status indicators of two groups of subjects". With the help of SAS software， the multivariate multiple linear regression analysis was carried out on the data in the two examples， and an explanation was made for the output results of SAS. |
| View Full Text
View/Add Comment Download reader |
| Close |