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We used analysis of variance and developed a number of regression models to determine the spatial and temporal responses of insect abundance to fire.
For males and females separately, they fit a number of regression models that also included race/ethnicity and Educational Attainment.
A number of regression models were tested to explore the relationships between stem and log variables, the extent of timber recovery and its financial value.
We compared the ability of a number of regression models (linear, exponential, logistic, and polynomial) to capture a relationship between EAGB (DBH ≥ 60 cm) and EAGB (60 cm < DBH ≥ 30 cm).
[ 6, 14] A number of regression models exist that assess the degree of association between the study effect and a measure of its precision.
We compared the ability of a number of regression models (linear, exponential, logistic, and polynomial) to capture a relationship between EAGB (DBH ≥ 60 cm) and EAGB (60 cm < DBH ≤ 30 cm).
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When a large number of regression models are run on a data set, some statistically significant associations may occur by chance.
Number of regression model parameters, plus one.
The data analysis could involve a number of regression methods (including generalized ordered logit models) to examine various cut-points in walking duration and expanding the number of categories across the non-walking to walking continuum.
These six parameters were then explored using EnergyPlus simulation, and a number of linear regression models developed from the simulation outputs.
The evidence is equivocal because we use a number of different regression models to deal with the uncertainties inherent in a large, cross-national panel dataset – unobserved country-level differences, or, to invoke a familiar phrase, "unknown unknowns".
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