A univariate linear regression analysis demonstrated a highly significant correlation between the duration of storage and the G-TVBN values ( p < 0.001), with the model explaining 97.6% of the variability in G-TVBN concentrations, evidenced by an R 2 value of 0.976.
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This new model showed a substantial increase in statistical significance, reaching a highly significant level ( p < 0.001) as indicated in Table S4 .
Omitting acetic acid and butanoic acid caused differences in B1, G2, and G1 (0.01 < p ≤ 0.05), with acetic acid showing a significant difference in GP (0.01 < p ≤ 0.05) and butyric acid a highly significant difference ( p ≤ 0.001).
Taking “the velvety sensation of the first assessment “as an example, the fixed-effects test results showed that the main effect of wine sample was highly significant (F(3, 96) = 19.568, p < 0.001), indicating significant differences in velvety sensation among the wine samples; the main effect of repetition was not significant (F(1, 96) = 0.754, p = 0.387), suggesting no systematic bias between the two replicate assessments; and the interaction between wine sample and repetition was not significant (F(3, 96) = 0.534, p = 0.660), indicating that the pattern of changes across the two assessments was consistent for all wine samples.
Data Analysis The effect of EO and time of packaging were evaluated through ANOVA one-way with the STATISTIC 2014 SW program (StatSoft Inc., Tulsa, OK, USA), in which the effect was considered not significant when p ≥ 0.05; significant when p < 0.05; very significant when p < 0.01; and highly significant when p < 0.001, and determined by Tukey’s HSD test (“Honestly Significantly Different”). 3.
The interaction between the regional location and the dietary treatment was highly significant ( p < 0.001) for a*, b*, Ch*, and H o , and significant for L* ( p < 0.05).
Pearson Correlation Analysis As illustrated in Figure 8 , storage temperature showed a highly significant negative correlation with the a* value (redness) of the 3D-printed pork products ( p < 0.001), while it exhibited highly significant positive correlations with TVB-N, peroxide value (PV), and the concentrations of Maillard reaction products (A 294 and A 420 ) ( p < 0.001).
The following attributes stood out as highly significant ( p < 0.001) and therefore with the highest discriminatory power: crunchiness, rancid odor, cooked meat aroma, color intensity, fracturability, pastiness, vegetable flavor, aftertaste persistence, and umami taste ( Figure 2 ).
The significance criteria were defined as follows: p < 0.05 was considered a statistically significant difference, p < 0.01 was considered an extremely significant difference, and p < 0.001 was considered an ultra-significant difference.
The dependence was highly significant ( p < 0.001; due to a high number of measurements, n = 250), but at the same time coefficient of determination of the relationship was very low (R 2 = 0.12; high variability of the measured data).
All models demonstrate a p -value of 0.000, indicating that the color variables are highly significant predictors of maturity ( p < 0.001).
This is consistent with the results of the ANOVA ( Table 1 ); the moisture content had a highly significant ( p < 0.001) effect on both the TPA and cutting strength.
In particular, forty-one people recognized CTRL and T2 for their different color ( p < 0.01), whereas the number of correct answers increased when considering odor, texture and taste, with highly significant results ( p < 0.001).
The model confirmed a highly significant effect of storage time on Acceptability (χ 2 (6) = 30.6, p < 0.001).
There were highly significant relationships ( Figure 4 a,b) between TW and milling yields ( R 2 = 0.75, p < 0.001) when results of all four varieties were combined.
Statistical analysis showed a highly significant ( p < 0.001) difference between the EO treatments after 8 h and fermentation time also had a significant effect ( p < 0.05).
In fact, the tree model ( Supplementary Figure S1 ) displayed four highly significant ( p < 0.001) splits resulting in two intermediate and four terminal nodes.
Regression Model and Variance Analysis The analysis of variance ( Table 4 ) revealed that the model was highly significant ( p < 0.001), indicating its strong statistical significance.
Erythritol and stevioside showed highly significant differences ( p < 0.001), while sucralose also differed statistically ( p = 0.037) [ 14 ].
The probit model exhibits strong explanatory power, as evidenced by a pseudo R-squared of 0.862 and a highly significant Wald chi-squared statistic (χ 2 = 53.60, p < 0.001), indicating a good overall fit. 4.2.
Model 3: Determinants of Business Liquidity (Processing Continuity) FMCS emerges as the dominant and highly significant predictor of business liquidity ( β = 0.336, p < 0.001), indicating that a one-unit increase in financial management competency is associated with a 0.336-point increase in perceived liquidity ( Table 5 ).
G3 and G4 groups were higher than the control G2 (+Ve), while G4 showed a highly significant difference ( p < 0.001) compared to the control G2 (+Ve).
Similarly, the perceived adequacy of the training was highly significant ( p < 0.001): 7.8% of those who considered it adequate reported high scores, compared to 33.3% of those who judged it “not entirely adequate”.
The triangle test showed that highly significant differences ( p < 0.001) exist between the complete recombination sample and M 5 and that 2-acetyl-1-pyrroline is a key odorant in THSL.
Figure 10 reports the linear regression of the dependent variable (gross time) with respect to the independent variable (olive production) showing high correlation ( R 2 = 0.746) along with the statistical analysis indicating a highly significant value for the t -test ( p < 0.001).