The phrase "a Quantitative variable" is correct and usable in written English.
It can be used in contexts related to statistics, research, or data analysis when referring to a type of variable that can be measured numerically.
Example: "In our study, we focused on a quantitative variable, such as the number of hours studied, to analyze its impact on test scores."
Alternatives: "a numerical variable" or "a measurable variable".
It can be defined as the discrimination-slope difference between the models with and without a quantitative variable.
Suppose it is of interest to estimate the population mean, μ, for a quantitative variable.
As the Hysi et al. analysis takes hair colour as a quantitative variable (1 = blonde, 2 = red, 3 = light brown, 4 = dark brown and 5 = black), we could not compare the results directly.
Constructing a frequency distribution for a quantitative variable requires more care in defining the classes and the division points between adjacent classes.
They describe the distribution of a quantitative variable in a healthy population, and are often a smooth function of age or another determinant.
We also ran a new GWAS taking hair colour as a quantitative variable and compared our results to Hysi et al. Some of the SNPs reported in their analysis do not pass our QC, so they have been reported as missing SNPs (NA).
The model parameters include three sets of variables: the amount of snowfall as a quantitative variable, categorized cold as a dummy variable, and an interaction variable formed by the product of these two variables.
In mineral resources evaluation, the joint simulation of a quantitative variable, such as a metal grade, and a categorical variable, such as a rock type, is challenging when one wants to reproduce spatial trends of the rock type domains, a feature that makes a stationarity assumption questionable.
Finally, the canopy cover, as a quantitative variable, was measured with one densitometer reading over the 2-m circular plot of each tropical ash individual.
This method can be seen as a process of turning a quantitative variable (one internal software class attribute in our case) into a discrete ordinal variable.
Nevertheless, it should be noted that β j for a quantitative variable is one coefficient, while β j for a class variable or an interaction including one or two class variables is a vector of multiple coefficients.
