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A stepwise multiple regression methodology was applied to determine the relative importance of each variable in explaining the regional distribution of ignitions and burned area fractions and to address hypotheses regarding human and biophysical influences on the drivers of forest fires.
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Variable selection and model development were carried out by stepwise multiple linear regression methodology.
A quadratic polynomial equation was obtained for methyl ester yield by multiple regression analysis using response surface methodology (RS M.
A quadratic polynomial equation was used to model glucose yield by multiple regression analysis, using response surface methodology (RS M.
A quadratic polynomial equation was obtained for 1,3-PD productivity by multiple regression analysis using response surface methodology.
A quadratic polynomial equation was modelled for glucose recovery by multiple regression analysis using response surface methodology (RS M.
The second part consists of the use of response surface methodology and multiple regression to develop an experimental design modeland to assess the individual and interactive effects of pH, power (Po), ZVI dose and H2O2.
Secondary analysis of PROMS will take into account the multiple data points using random effects regression methodology.
The key element of our KIEN methodology is a multiple regression procedure that uses in vitro screen data as a training set.
This model has the advantages in that information from different types of studies can be employed, it has a theoretical background, and there is methodology to obtain confidence intervals from multiple regression software [ 19].
As we mentioned before in the methodology section we choose for linear multiple regression analyses to determine which independent variables were associated with each type of use of epidemiological research (instrumental, conceptual, symbolic).
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