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The corresponding variables are more enormous if
spss absolute F value turns into greater and spss p value turns into smaller. It can be seen that spss variables with spss largest effect were spss linear terms of microwave power x1, extraction time x2 and spss quadratic term of liquid: solid ratio x3. 0001 from spss onion peels. FIG. 0005 WERE SIGNIFICANT EXTRACTION VARIABLESTABLE 4: ANOVA AND
REGRESSION ANALYSIS OF
PLACKETTBURMAN DESIGN CRITERION DATA FOR spss PREDICTION OF SIGNIFICANT EXTRACTION VARIABLESFIG. 0005 WERE SIGNIFICANT EXTRACTION VARIABLESTABLE 5: ANOVA AND REGRESSION ANALYSIS OF PLACKETTBURMAN DESIGN CRITERION DATA FOR spss PREDICTION OF SIGNIFICANT EXTRACTION VARIABLES FIG. 0005 WERE SIGNIFICANT EXTRACTION VARIABLESTABLE 6: ANOVA AND REGRESSION ANALYSIS OF PLACKETTBURMAN DESIGN CRITERION DATA FOR spss PREDICTION OF SIGNIFICANT EXTRACTION VARIABLESThe three massive parameters microwave power X1, irradiation time X2 and solvent sample ratio X3 was analysed further for getting spss higher values of yield. Fig. 6 highlights spss usual yield microwave power plot for spss extraction of TFC, TPC and DPPH %. All spss experiments were performed in duplicate and spss mean value of yields were taken for statistical evaluation. 05 when spss extraction was carried out with 10min, 15 min and 20min at first.
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I, , take thee, ,
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