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Analysis of variance showed that the predicted quadratic models were significant and suitable for the responses.
All models were significant and able to explain more than 86% of the variation.
All quadratic regression models were significant at p<0.03 level and had R2 value between 88.2% and 91.5%.
ANOVA results showed that both models were significant, expressing ideal relationships between all independent and dependent variables.
The p-value of <0.0001 for each of the stages showed that the models were significant with R2 of 0.96 each.
Genetic correlations estimated for the pair lnFEC-FAMACHA using multivariate models were significant in all cases varying from 0.548 ± 0.247 to 0.785 ± 0.242.
All regression models were significant.
In this case, none of the personality models were significant.
In this research, the software revealed that the linear and quadratic models were significant (P < 0.05).
All variables in the four models were significant at P <0.001.
The prob > F values (0.0001) for the CHA production are lower than 0.05, indicating that quadratic models were significant.
More suggestions(15)
models were remarkable
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choices were significant
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sample were significant
later were significant
models remained significant
models were late
models were young
models were small
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models showed significant
models included significant
models were pale
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