In which of the following cases would you want to use quantile regression?
A)When individuals non-randomly select different outcomes of the dependent variable.
B)When you are attempting to replicate a randomized clinical trial.
C)When you are dealing with non-negative count data.
D)When you suspect that the marginal effects are different for different values of the dependent variable.

Question

Quizplus · Accepted Answer

Quantile regression is useful when you suspect that the marginal effects are different for different values of the dependent variable. It allows you to estimate the conditional quantiles of the dependent variable as a function of the independent variables, providing a more nuanced understanding of the relationship between the variables than traditional linear regression.

In Which of the Following Cases Would You Want to Use