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"by multiple regression analysis" is a grammatically correct and commonly used phrase in written English.
It is typically used to describe the method or technique used to analyze data and draw conclusions in research or statistical analysis. Example: "The impact of education on income was determined by multiple regression analysis, taking into account variables such as age, gender, and occupation."
Exact(60)
A quadratic polynomial equation was obtained for methanolysis reaction by multiple regression analysis.
A quadratic polynomial equation was obtained for pomace oil methyl ester yield by multiple regression analysis.
Using response surface methodology (RS M, a second order polynomial equation was obtained by multiple regression analysis.
A quadratic polynomial equation was obtained for methyl ester yield by multiple regression analysis using response surface methodology (RS M.
Using RSM, a quadratic polynomial equation was obtained by multiple regression analysis for predicting optimization of the extraction protocol.
Correlations between the amounts of marker compounds from CC, PL, and GU were assessed by multiple regression analysis.
A quadratic polynomial equation was used to model glucose yield by multiple regression analysis, using response surface methodology (RS M.
The optimum set of reaction conditions was defined by multiple regression analysis of the second-order polynomial model.
A satisfying leadership behaviours (SLB) model has been developed by multiple regression analysis based on the identified leadership behaviours.
Using response surface methodology, a quadratic polynomial equation was obtained for acid value by multiple regression analysis.
A quadratic polynomial equation was obtained for 1,3-PD productivity by multiple regression analysis using response surface methodology.
More suggestions(15)
by multiple correlation analysis
by multiple regression test
by multiple regression method
by multiple factor analysis
by Logistic regression analysis
by logistic regression analysis
by linear regression analysis
by multiple comparison analysis
by multiple restriction analysis
by multiple filter analysis
by simple regression analysis
by nonlinear regression analysis
by multivariate regression analysis
by logarithmic regression analysis
by univariate regression analysis
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com