Regression Analysis for Textile Property Relationships
topic
Simple linear regression models the relationship between a single textile process variable and a measured property response, multiple regression incorporates several predictors simultaneously, polynomial regression fits curved relationships between fabric density and air permeability or yarn twist and tenacity, with residual analysis validating model assumptions and identifying influential data points.
Role
Quantifies the quantitative relationships between textile process parameters and product quality responses, enabling prediction of fabric performance from process settings, identification of the most important process variables influencing quality, and development of predictive models that reduce the need for physical testing through computational prediction.