Abstract: In process industries, accurate prediction of critical quality variables is particularly important for process control and optimization. Usually, soft sensors have been developed to estimate ...
Correlation analysis is a commonly used method in data analysis and mining. By analyzing the relationships between the feature and target variables, it helps identify influential factors in business ...
Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...
Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...
The Statistical Package for the Social Sciences (SPSS) is a powerful software tool that allows you to analyze data efficiently. It is widely used in various fields, including research, survey analysis ...
Correlation is a statistical measure that represents the strength and direction of the relationship between two variables. When analyzing data, it’s often useful to determine if a connection exists ...
Introduction: This study aimed to investigate the physical and individual technical-tactical performance of elite futsal players. Methods: Thirteen National Team futsal players (27.4 ± 4.7 years, 70.3 ...
ABSTRACT: Multicollinearity in factor analysis has negative effects, including unreliable factor structure, inconsistent loadings, inflated standard errors, reduced discriminant validity, and ...
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