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490 nm was determined by a microplate reader (Bio-Rad Laboratories, Inc.), the inhibitory rate (%) was finally calculated by the following formula: Inhibitory   rate ( % ) = OD Blank − OD Sample OD Blank × 100 % Correlation analysis Quantitative

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. Correlation analysis of the PCB values (CB138, 153, and 180) in human serum samples ( n = 26) using GC–NICI–MS and GC–EI–HRMS. The gray zone represents the 95% CI for regression, determined via bootstrapping (999 bootstraps

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and saliva values were determined using Pearson or Spearman correlation analysis. All tests were carried out using an SPSS 20.0 statistical program. The statistical significance was set at P < 0.05. Results and

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Acta Chromatographica
Authors: M. Waksmundzka-Hajnos, D. Matosiuk, A. Petruczynik, and U. Kijkowska-Murak

. Leo 1979 Substituent Constants for Correlation Analysis in Chemistry and Biology Wiley Interscience New York . [5

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Acta Chromatographica
Authors: Xiaoyan Zhang, Jie Liu, Wenbo Sun, Xiangchun Shen, Xiaojian Gong, Cong Wang, Yan Liang, and Wei Zhou

temperature. Data analysis CF analysis was based on bivariate correlation analysis in this study. Pharmacokinetic parameters of the determined compounds were processed by the non-compartmental method using Data Analysis System (DAS) 3.2 (Center for Drug

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Progress in Agricultural Engineering Sciences
Authors: Tamás Csurka, Klára Pásztor-Huszár, Adrienn Tóth, Richárd Pintér, and László Ferenc Friedrich

determination coefficient ( R 2 ) shows how appropriate a model is. The determination coefficient shows a very appropriate model. Data are evaluated by the comparison of attributes' expected values and Pearson correlation analysis, which measure the dependence

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Progress in Agricultural Engineering Sciences
Authors: Mai Sao Dam, Xuan Thi To, Quoc Tan Pham Le, Lien Le Phuong Nguyen, László Friedrich, Géza Hitka, Tamás Zsom, Tien Cam Thi Nguyen, Chuong Quang Huynh, My Diem Thi Tran, and Vuong Duc Nguyen

). Statistical analysis All data were processed by R version 4.0.1 (The R Foundation for Statistical Computing, Vienna, Austria) and RStudio version 1.3.959 (RStudio, Boston, US) using Pearson correlation analysis and analysis of variance (ANOVA) followed by

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. Graphs were created with Ms. Excel 2019. The statistical analysis like analysis of variance (ANOVA), (simple regression and bivariate correlation analysis) for the studied characteristics carried out with Ms. Excel and Minitab software. Results The result

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