The phrase "a range of predictor variables" is correct and usable in written English.
It can be used in contexts related to statistics, research, or data analysis when discussing multiple factors that may influence an outcome.
Example: "In our study, we examined a range of predictor variables to determine their impact on the dependent variable."
Alternatives: "a variety of predictor variables" or "multiple predictor variables".
Measurement of a range of predictor variables allows for the detection of bio-psycho-social factors which may be relevant for treatment outcome.
A GIS was developed with a range of predictor variables including information on land cover, roads, population, altitude, and X-Y coordinates of each monitoring site.
We found that selective drop-out of participants according to a range of predictor variables did not invalidate the prediction of teacher-reported disruptive behaviour disorders by factors that were assessed as early as pregnancy and birth that have previously been shown to predict these difficulties.
Another unique feature of this study was the availability of a wide range of predictor variables for a cohort of military members who were initially free of a diagnosis of a mental disorder while in the military.
Similarly Drachman and colleagues found few significant effects on the rate of decline in AD despite studying a wide range of predictor variables in a sample of just 42 patients [ 28].
The present study employed structural equation modelling to investigate the relationship between a broad range of predictor variables and the frequency with which Australian children consume soft drinks.
Univariate regression analyses demonstrated that these macrophyte cover metrics are predicted by a wide range of predictor variables, most commonly by: Secchi disk depth, maximum or mean depth, catchment morphometry, road density and the proportion of urban or agricultural land use/cover in the riparian zone or catchment (r2 = 0.06 0.46).
Thus, the decision to utilise a broad range of predictor variables in the analyses was justified for both dimensions of loneliness.
To date, accelerometer data has been collected in different countries, across diverse cultures, from age ranges encompassing the full childhood and adolescent period, and including a broad range of predictor variables and associated health outcomes.
To date, a number of studies of children and adolescents across diverse cultures around the globe have collected accelerometer measures of physical activity accompanied by a broad range of predictor variables and associated health outcomes.
Some city-specific LUR methods have used location-allocation methods to more fully represent the true spatial variation in pollution levels and to capture the range of predictor variables (Jerrett et al. 2005).
