Abstract: Electrical utilities are continuously searching for new ways to cut costs and effectively increase the quality of service being supplied to their clients, which is closely related to the ...

OBJECTIVE: With population aging, the prevalence of sarcopenia has increased. It is a pathology often neglected, with the potential to cause great damage if not diagnosed and treated. The objective of ...

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 ...

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 ...

Graphics are a key method for getting statistics and data across, when explaining it could otherwise be complicated. That’s why scatter plots, also known as scatter diagrams, are powerful tools in ...

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 ...