Study of Mechanical Properties of Wool Type Fabrics using ANCOVA Regression Model

International Conference on Innovative Research - ICIR Euroinvent 2017

Hristian, L.^1 ; Ostafe, M.M.^1 ; Manea, L.R.^1 ; Apostol, L.L.^1

Gheorghe Asachi Technical University of Iasi, Faculty of Textile, Leather and Industrial Management, Department of Engineering and Design of Textile Products, Blvd. Mangeron, No. 28, Iasi, Romania^1

关键词: Analysis of covariances;    Continuous variables;    Dependent variables;    Fiber composition;    Independent variables;    Multiple regression analysis;    Quantitative variables;    Regression model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/209/1/012075/pdf
DOI  :  10.1088/1757-899X/209/1/012075

来源: IOP

【 摘 要 】

The work has achieved a study on the variation of tensile strength for the four groups of wool fabric type, depending on the fiber composition, the tensile strength of the warp yarns and the weft yarns technological density using ANCOVA regression model. ANCOVA checks the correlation between a dependent variable and the covariate independent variables and removes the variability from the dependent variable that can be accounted for by the covariates. Analysis of covariance models combines analysis of variance with regression analysis techniques. Regarding design, ANCOVA models explain the dependent variable by combining categorical (qualitative) independent variables with continuous (quantitative) variables. There are special extensions to ANCOVA calculations to estimate parameters for both categorical and continuous variables. However ANCOVA models can also be calculated using multiple regression analysis using a design matrix with a mix of dummy-coded qualitative and quantitative variables.