Multivariate regression analysis and Kaplan–Meier survival analysis were performed to identify the predictive factors for ISR. Results Post-FF was significantly different between the ISR and non-ISR ...

This course provides an overview of different regression types and details the application of multiple linear regression. The main course focuses on the theory behind regression analysis, in ...

Multivariate analysis of variance (MANOVA) is an extension of the commonly used analysis of variance (ANOVA) method, allowing statistical comparisons across three or more groups of data and involving ...

Along with IBM SPSS, SAS is another well-established juggernaut in statistical analysis and data analytics. The SAS system provides many regression procedures, such as the REG for general-purpose ...

Multivariate analysis is a powerful tool for understanding the relationships between multiple variables. Commonly used methods include regression analysis, which can model the relationship between ...

Abstract: This paper uses the questionnaire data as samples and the SPSS multivariate linear regression method is used to establish an ANOVA model of business model innovation (BMI for short), ...

The data analysis used is multiple regression analysis using SPSS version 26.0 tools. The results of this research show that human resource competence has a positive effect on the performance of MSMEs ...

Results 74 athletes were available for analysis. A total of nine variables met the criteria for the multivariate analysis: intensity of sports, level of sports, self-predicted TTRTP by the athlete, ...

In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to establish ...