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The importance of each independent variable on the response was investigated by using sensitivity analysis.
Generalized Linear Models were used to estimate adjusted risk ratios (RR) for each independent variable.
Columnar Table A table with separate columns of numbers for each independent variable (i.e., grids) and for the data.
Each independent variable was studied at five coded levels.
The significance of each independent variable was calculated by analysis of variance.
Table 1 shows minimum and maximum level of each independent variable of the selected experimental design.
Each independent variable is represented as a Feature and managed via the Feature service.
Tolerances and P-values were calculated for each independent variable at each step in the process.
The student's t test and P value also indicate the interaction strength between each independent variable.
Each independent variable was observed to have a significant correlation with the output variable.
Each independent variable was coded at three levels between −1 and +1.
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