Barely Significant

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highly significantP < 0.00010.0× alphaqualifiedgold
1 X 2 2 − 4.27 X 3 2 − 4.82 X 4 2 − 6.24 X 1 X 2 + 0.8271 X 1 X 3 − 1.51 X 1 X 4 − 2.48 X 2 X 3 − 1.58 X 2 X 4 + 0.0910 X 3 X 4 + 2.15 X 1 + 6.65 X 2 − 2.00 X 3 + 0.7997 X 4 + 80.28 The regression analysis of variance (ANOVA) results (Supplementary Table 2 ) demonstrate that the regression model is highly significant ( P < 0.0001), confirming its reliability.
highly significantP <10 −40.0× alphaqualifiedgold
The analysis of the FSAT results showed that the correlation between the prevalence of asymptomatic carriers and disease incidence reports (both surveillance systems) of the same year was highly significant. “High risk HC 2010” villages had on average six times more asymptomatic carriers than “low risk HC 2010” villages (1.57% vs. 0.24%, P <10 −4 ).
highly significantP < 0.00010.0× alphaqualifiedgold
Linear regression of seasonal curve shape against methodological score was highly significant ( r 2 = 0.3, F = 16.9, P < 0.0001, test for normality = 0.2, P < 0.0001) confirming that the tendency to demonstrate seasonal dynamics between the different retained studies depends largely on the degree of statistical or mathematical technical Sophistication of the study.
highly significantp < 0.00010.0× alphaqualifiedgold
Based on the results, it showed that the model is highly significant when the computed F -value is greater than the tabulated F -value and the probability value is low ( p < 0.0001), indicating that the individual terms in each response model were significant on the interaction effect.