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Response surface and contour plots were constructed for various response variables, namely electro-responsive drug release, matrix resilience and degree of swelling.
The response surface plots were constructed for various response variables, viz.
Comparison of experimental output with those predicted by the developed models showed close proximity having high correlation coefficients R2 for the various response variables.
Our method contrasts, however, with previously reported quantitative structure-activity relationship (QSAR) modeling which, in conjunction with physico-chemical properties, relates amino acid positions and amino acid compositions of peptides and monoclonal antibodies to various response variables [ 20- 22].
To test the trend and relationship of one treatment group to another, we paired (blocked) the means of the various response variables and compared the two treatment groups with respect to these paired mean values.
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The rates of patients achieving the various ACR response variables after 12 weeks of treatment (remission rate) are presented in terms of number and percentage of patients.
Next, we created logistic regression models to determine the relationship between various LULC types (response variables) and drivers of LULC change (explanatory variables) to forecast the spatial distribution of LULCs.
The experimental design is used to evaluate the effectiveness and efficiency of the proposed CPS with five factors (number of orders, order size, order size variance, order priority, and balance policy) with various levels and three response variables, namely, machine workload balance, order due date deviation, and lateness.
The various change metrics were response variables in separate linear mixed models.
The points in the plot are the means of the response variables at various levels of each factor, with a reference line (center line) drawn across the plot representing the grand mean of the response data.
Kumar et al. (2013) investigated effect of various WEDM parameters on four response variables, i.e., machining rate, surface roughness, dimensional deviation and wire wear ratio on pure titanium (Grade-2) using RSM.
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