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 ...
I was going to name this blog, “Believe half of what you see and nothing of what you hear,” one of my father’s often-repeated expressions. Similar admonitions have been attributed to several sources, ...
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