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Results are analyzed using multiple regression analysis to identify the mold related VOCs, and to determine the transport through the building envelope.
This study used a multiple regression analysis to analyze the effects of some socio-economic determinants on the members' ability to repay group loans.
The experimental data was fitted to a second-order polynomial equation using multiple regression analysis and analyzed using analysis of variance (ANOVA).
The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and analyzed by analysis of variance (ANOVA).
The experimental data were well fitted to a second-order polynomial equation using multiple regression analysis and also analyzed by analysis of variance (ANOVA).
The experimental data were fitted to three second-order polynomial equations using multiple regression analysis and also analyzed using the appropriate statistical methods.
The experimental data were fitted to a second-order polynomial equation using multiple regression analysis and also analyzed using the appropriate statistical methods.
The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and also analyzed by appropriate statistical methods (ANOVA).
The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and also analyzed by appropriate statistical methods.
The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and also were analyzed by analysis of variance (ANOVA).
The relationship between age, refractive error, gender, ethnicity, and the study variables were analyzed using multiple regression analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com