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. 2017 Feb 9;25(7):981–992. doi: 10.1016/j.jsps.2017.01.007

Table 5.

Analysis of variance for prediction of lyo-LCL-SIM CQAs.

CQA Source Degrees of freedom Sum of squares Mean square F value P value
Liposomal size Total corrected 20 1.6488 0.08244
Regression 4 1.3252 0.3313 16.378 <0.001
Residual 16 0.3236 0.0202
Lack of fit 14 0.3184 0.0227 8.647 0.108
Pure error 2 0.00526 0.00263



Liposomal SIM concentration Total corrected 20 1,077,280 53863.80
Regression 6 969,918 161,653 21.080 <0.001
Residual 14 107,359 7668.47
Lack of fit 12 93751.80 7812.65 1.148 0.557
Pure error 2 13606.80 6803.40



ESR Total corrected 19 0.1660 0.00874
Regression 5 0.1255 0.0251 8.662 0.001
Residual 14 0.0406 0.0029
Lack of fit 12 0.0385 0.0032 3.056 0.273
Pure error 2 0.00209 0.00105



Tm change Total corrected 20 70.325 3.516
Regression 5 59.393 11.878 16.299 <0.001
Residual 15 10.931 0.729
Lack of fit 13 9.524 0.733 1.041 0.592
Pure error 2 1.407 0.704



Residual moisture content Total corrected 19 24.958 1.314
Regression 5 18.072 3.614 7.348 0.001
Residual 14 6.887 0.492
Lack of fit 12 6.076 0.506 1.250 0.528
Pure error 2 0.810 0.405