On the regression model, was extremely significant (P < 0.001), but the ANOVA for lack of fit was insignificant (P > 0.05).
Excerpts
All the four tests (Wilks' lambda, Pillai's trace, Lawley-Hotelling trace and Roy's largest root) were highly significant (p < 0.001).
In the AMMI ANOVA the main effects of the environment (E) (54.18 % SS), genotype (G) (16.9 % SS) and GEI (23.50 % SS) were highly significant (p < 0.001).
Interaction effects on leaf chlorophyll content Highly significant (p < 0.001) differences between P rates were recorded in chlorophyll content of plants.
The results were considered statistically significant if p < 0.05, more significant if p < 0.01, and highly significant if p < 0.001 as compared with the background group.
This difference was statistically highly significant (p < 0.001).
Wilks' lambda test, which checks the linear relationship between the predictors and the grouping variable (i.e., the validity of the analysis) was highly significant (P < 0.001).
Analysis of variance revealed that latitudinal gradient had a highly significant effect on mean densities of adult (F = 18.78, p < 0.001) and juvenile (F = 7.20, p < 0.001) individuals, mean diameter (F = 81.16, p < 0.001) and Lorey's mean height (F = 28.13, p < 0.001) of L. macrocarpa ( Table 4 ).
An expected trend for fatigue was found ( F = 12.12, p < .001); participants were more tired at 8pm ( M = 2.75, SE = .08) than they were earlier, and more tired at 5pm ( M = 2.51, SE = .08) than they were at 2pm ( M = 2.32, SE = .08) or 11am ( M = 2.34, SE = .08; fatigue did not differ significantly between the two first occasions) 1 .
The heterogeneity accounting for the differences in effect sizes among the studies included in the meta-analysis was large and highly significant (Q (51) = 179.742, p < 0.001).
Despite this, brushing using the stannous fluoride dentifrice produced the hardest dentine surfaces, which was highly significant compared with both control and dab-on application groups (p < 0.001).
**p < 0.01 and ***p < 0.001 were considered highly significant). 3.
3.1.2 pH Biochar was the sole factor that had a highly significant effect (GLMM: p < 0.001) on soil pH ( Table 3 ).
The highly significant p-value <0.001 suggests there is a less than 0.1% probability that this strong positive relationship occurred by chance.
3 Results and discussion 3.1 The effect of fungicide rates on disease severity There was a highly significant difference (P < 0.001) between the treatments for disease severity starting from the 3rd data scoring.
The family Mavoka x Garukunsubire had the highest average of DMC (35.9%), with highly significant (p < 0.001) positive SCA, while the family Mavoka x Ndamirabana recorded the lowest average of DMC (28.4%), with significant (p < 0.001) negative SCA (-3.62).
Highly significant interactions ( p ≤ 0.001) were found among the tested rootstocks and locations regarding vegetative growth parameters, except for the trunk diameter index.
The authors highlighted that the correlation between SI values and EB safety estimates is highly significant (t = 9.64, p-value <0.001), with 77% of the variation in the estimated number of crashes explained by the SI value.
The results from the analysis of variance showed a highly significant difference (p < 0.001) among almost all the traits studied.
3 Results 3.1 1st stay 3.1.1 Pre-post comparison of all subjects For all parameters, a statistically highly significant change between pre-post measured values was found after Bonferroni-Holm correction (p ≤ 0.001) ( Table 2 ).
Additionally, a highly significant negative correlation (r = −0.87, p < 0.001) exists between clay and silt fractions.
Through the assessment of LWRs, the regression analysis revealed that the coefficients a and b were calculated as 0.0223 and 2.67, respectively, indicating a highly significant correlation ( p < 0.001; r 2 = 0.974) ( Table 3 ) ( Fig. 3 ).
The duration of diabetes exhibits a notable negative correlation with limits of stability, which is highly significant (B = −0.09, SE = 0.02; Beta = −0.31; t = −4.50, p = 0.001).
7 E) indicated a highly significant difference (p < 0.001) in the expression of the LRPPRC between the high- and low-risk groups of PD samples.
Variance components analysis of the 12 agronomic traits by likelihood ratio test (LRT) The 13 green gram genotypes had highly significant effects ( p < 0.001 and p < 0.01) for most of the agronomic traits such as DFF, PH, DI, NSB, NCP, NPC, PL, SYP and SW, and GEI indicated a more significant effect for DFF, PH, NCP, NPP, PL, NSP, SYP and SW ( Table 4 ).