The phrase "a regression on" is correct and usable in written English.
It is typically used in statistical or analytical contexts to refer to a regression analysis focused on a specific variable or set of variables.
Example: "The study conducted a regression on the impact of education level on income."
Alternatives: "a regression analysis of" or "a regression concerning".
As proposed by Burgueño et al. (2007), pedigree-derived additive and additive × additive relationship information can be combined into a single model that will model GE using the FA model with two random effects: one is a regression on pedigree additive relationships, and the other, a regression on pedigree epistasis additive × additive relationships (see Appendix).
In the example of Box 9 we include two random effects, one representing a regression on pedigree, a ∼ N (0, A σ a 2 ), where A is a pedigree-derived numerator relationship matrix, and one representing a linear regression on markers, g ∼ N (0, G σ g 2 ) where G is a marker-derived genomic relationship matrix.
Thus, the genomic-derived additive and additive × additive relationships can be combined into a single model by extending (5A) to a model with two random effects, one with gM∼ N 0, G0M⊗ AM), representing a regression on genomic additive relationships, and the other representing a regression on genomic epistasis additive × additive relationships,.
Burgueño et al. (2012) outlined how pedigree and marker information can be combined in a single model by extending (3A) to a model with two random effects, one of which, g P ∼ N 0, G0P⊗ AP), represents a regression on pedigree additive relationships, and the other represents a regression on marker additive relationships, g m ∼ N 0, G0M⊗ AM).
Thus, (3A) and (4A) become and Similar to Burgueño et al. (2007), pedigree-derived additive and additive × additive relationship information can be combined into a single model by extending (5A) to a model with two random effects, one of which, g P ∼ N 0, G0P⊗ AP), is a regression on pedigree additive relationships.
It defies putting a bunch of data into a computer and running a regression on it".
For example, a researcher (or nefarious intruder) can compute a regression coefficient on a category with one member, and thus obtain results that breach privacy.
There was only one study (2%) with a regression analysis on cost available.
The impact of social factors and consumer behavior on carbon dioxide emissions in the United Kingdom: a regression based on input-output and geodemographic consumer segmentation data.
In this paper the optimal design problem for the estimation of the individual coefficients in a polynomial regression on an arbitrary interval [a,b] (−∞
We used a regression algorithm on some figures to roll back current mortality figures to the beginning of the 20th century.
