Regression modeling of replay rate and significance test The regression equation for the reseeding rate Y 1 is: 4 The variance scores are as shown in Table 3 .The fit of this model was highly significant ( P < 0.01).
Excerpts
However, there was extremely significant correlation between ABTS and DPPH radical scavenging capacities ( P < 0.01) ( Table 3 ).
Statistical analysis was made by Student’s t-test between two groups and the differences were considered to be significant for p ≤ 0.05 and highly significant for p ≤ 0.01.
All data were considered to be statistically significant if p value < 0.05 represented as *and highly significant if p value < 0.01 represented as #.
At 80 kV, a slightly significant enhancement of CNR w with increasing microbubble concentration was registered (p = 0.01) (Fig. 3c ).
To address the issue of this bias, we performed a sensitivity analysis as described previously and found that even after adjustment for cotinine and urinary creatinine, the association between alcohol and blood pressure is still nominally significant in 2009–2010 (p = 0.01).
This difference, using Mann-Whitney-Wilcoxon, can be translated in a highly significant p-value of <0.01.
Differences are considered statistically significant at * P < 0.05, highly significant at ** P < 0.01, and not significant at ns.
Moreover, there was a highly significant correlation between decreased cAMP and PRL release when cells were treated with DA (coefficient of correlation R = 0.99; p < 0.01), while for ARI this correlation was weaker (R = 0.81, p > 0.01), reflecting dissociation in the concentration-dependent effects on PRL release and cAMP production.
4 a-d, k were highly significant with P < 0.01–0.001, except Fig. 4 b 1 mg/kg ( P < 0.05).
Furthermore, the L* values showed highly significant positive correlations (p < 0.01) with upper epidermal cell width, cell pinch angle, and cell area, and significant positive correlations with total chlorophyll and chlorophyll b content.
An extremely significant difference was inferred when P < 0.01.
This analysis yielded highly significant main effects of “stimulus category” ( F (1.19,115.21) = 288.49, P < .01, η 2 = .75) and “attachment to stimulus” ( F (1,97) = 1291.45, P < .01, η 2 = .93) as well as a significant interaction of “treatment” and “AQ” ( F (1,97) = 10.85, P < .01, η 2 = .10).
The significance level was calculated using the p-value ( p ≤ 0.05, highly significant if p ≤ 0.01).
Differences were considered significant at P < 0.05 and extremely significant at P < 0.01.
Significance levels were set as follows: statistically significant (0.01 ≤ * P < 0.05), highly significant (0.001 ≤ ** P < 0.01), and extremely significant (*** P < 0.001).
The THg and MeHg concentrations in the topsoil show an increasing trend with altitude ( r 2 = 0.68–0.71, p < 0.01 for both) ( Fig. 1 ).
Linear regression (log 2 (volume) = 1.85 + 2.43 log 2 (valve dimension); N = 596) was highly significant (p < 0.01) and explained 92% of variance ( Supplementary Fig.
The total percentage of positive clones was 2%±4.5% (n = 5), and when compared with the CIP-treated experiment data, the difference between them was highly significant (2%±4.5% vs 48%±7.6%, P<0.01 ).
The overall combined association was found to be highly significant (χ 2 = 24.86, p < 0.01), indicating that consumer decisions were determined by the combined effect of these factors rather than by awareness alone.
Analysis of variance showed highly significant ( P < 0.01) genetic variation among genotypes for all growth, yield, and phenological traits.
In addition, the interaction between phosphorus and potassium showed a highly significant effect at the 1% probability level ( P ≤ 0.01) (Table 2 ).
However, at 60 m, the correlations became markedly stronger, with features such as B-DIS (r = -0.81), B-ENT (r = -0.81), R-MEA (r = -0.82), and R-ENT (r = -0.82) showing highly significant negative correlations (p < 0.01, |r|> 0.80).
Differences between AKI and controls were statistically highly significant for both GLCM indicators (p < 0.01).
The SL parameter was moderately low, associated with RL (0.31 at p ≤ 0.05), while highly significant ( p ≤ 0.01) with VI (0.74 ** ).