Variables with a P value <0.1 in the intergroup analysis were included in univariate and multivariate Cox regression analyses to determine their association with ISR after EVT. Receiver operating ...

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 ... (PCA), which transforms a dataset to reduce its complexity while minimizing information loss. Others include cluster ...

IBM SPSS. IBM SPSS has been a long-standing favorite among data professionals for running statistical analyses and multivariate statistical techniques like linear regression.

Multivariate analysis is a broad term that covers different methods of analyzing data with more than one variable. For example, if you have a dataset of customers with attributes like age, gender ...

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), enterprise per ...

Correlation, Regression, and Multivariate Analysis with SPSS. Gava Media. ... The data analysis used is multiple regression analysis using SPSS version 26.0 tools. The results of this research show ...

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 ...