The phrase "a range of explanatory variables" is correct and usable in written English.
It can be used in contexts such as research, statistics, or data analysis when discussing multiple factors that help explain a phenomenon.
Example: "In our study, we considered a range of explanatory variables to better understand the impact of climate change on agricultural yields."
Alternatives: "a variety of explanatory factors" or "a set of explanatory variables."
Spring dung counts along permanent transects were modelled against a range of explanatory variables including habitat type.
In three separate multivariable logistic regression models we analysed associations between a range of explanatory variables and total, patient and health service delay.
Each included a range of explanatory variables.
A range of explanatory variables were also used.
We included a range of explanatory variables which were grouped as socio-demographic, antenatal and birth, or postnatal support.
Our results indicate that for women PTH is a plausible mediator in the association between MS and a range of explanatory variables, including vit D, magnesium and phosphate.
The vegetation composition of 511 individual hedgerows situated within an ancient hedgerow network landscape in Flanders, Belgium was recorded, in combination with a wide range of explanatory variables, including a selection of spatial variables.
Unfortunately, because the fitting of sophisticated PAMs including a wide range of explanatory variables is not a trivial task, available models tend to be based on data collected many years ago and seem unlikely to give reliable estimates of current accidents.
A robust analysis requires systematic data on a wide range of explanatory variables and multiple travel outcomes including accessibility, mobility and trip frequency for different trip purposes.
This makes it possible to include a broad range of explanatory variables in both the mean and variance (e.g., time trends, activation stimuli, head motion parameters and their temporal derivatives), and to compute the posterior probability of inclusion from the MCMC output.
Regression-based analyses will be used to explore the variation in key outcome variables, notably costs and health measures such as EQ-5D, and their associations with a range of possible explanatory variables.
