Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids
Regression When There Are Two Covariates: Some Practical Reasons for Considering Quantile Grids
When dealing with the association between some random variable and two covariates, extensive experience with smoothers indicates that often a linear model poorly reflects the nature of the association. A simple approach via quantile grids that reflects the nature of the association is given. The two main goals are to …