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The test of overall model significance showed that the model is significant for each dependent variable (PH and MH) in the mining and the agricultural community.
The closeness of the experimental results and predicted values demonstrated that the regression model is significant.
It is found that statistical model is significant and all "lack-of-fit" values are non-significant.
Check to see if the addition of a gaussian line to the null power-law model is significant, by applying the likelihood ratio test to compare a power-law (p1) with a power-law plus a line (p1+g1).
The preferred model choice: if only one is significant, then it is chosen; if both are significant, then we pick the one with the greater log-likelihood (columns 8 and 17); if neither model is significant, then we choose None.
The ANOVA of the quadratic regression model indicates the model is significant.
The p-value of the model is < 0.0001, which indicates that the model is significant [21].
The Model F-value of 66.28 implies that the model is significant.
The statistical analysis revealed that model is significant with F value 19.55 and R2 value 0.9514.
The high value of R2 and R2adj explains that the model is significant.
This model is significant in both industrial application and theoretical prediction.
More suggestions(15)
system is significant
sample is significant
example is significant
model is remarkable
models is significant
specimens is significant
modes is significant
model provides significant
model is simple
model is efficient
model creates significant
model is inexact
model has significant
model is crucial
model is low-tech
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com