The estimated regression coefficients for the response variable, along with the corresponding R2, adjusted R2 (adj-R2), F value, and p value of lack of fit, were shown in Table 2.
The p-values of "lack of fit" in the two models were 0.2901 and 0.1237, respectively, implying that the "lack of fit" was not significant.
Inversely, however, it can also be explained by the negative prognostic value of lack of fitness for the ulterior development of cardiovascular disease.
The value of lack of fit for regression is insignificant (P > 0.05), suggesting that the model fitted well to the data in the experimental region.
Small number of comments related to specialty-specific data collection, either its value of lack of availability and lack of data and hence clinical engagement was identified as a problem for anaesthetics, interventional radiology, community paediatrics and sexual health.
If the model does not fit the data well, the value of lack of fit will be significant and then proceeding with investigation and optimization of the fitted response surface is likely to give misleading results [ 19].
Placebo-controlled phase III trials with EGFR TKIs in the second- or third-line setting were the only studies indicating some predictive value of lack of protein expression in selecting patients who do not benefit from these agents, although its predictive discrimination did not meet the expectations of a clinically useful test (i.e., clinically meaningful difference between patient subsets).
The evidences were including Fisher variation ratio (F-value), probability value (P-value), Lack of Fit, coefficient of determination R-squared (Rd2), adjusted R-squared (RAdj2), predicted R-squared (RPred2) and adequate precision (PRESS).
The evidences were Fisher variation ratio (F value), probability value (p value), lack of fit, coefficient of determination R-squared (R d 2 ), adjusted R-squared(R Adj 2 ), predicted R-squared (R Pred 2 ), and adequate precision.
The F value for lack of fit with a value of 6.0 implied that the lack of fit was insignificant and hence the model was valid for further studies.
The insignificant value of lack-of-fit (>0.05) shows that the model is valid for the present study (Ziagova et al. 2007).
