The specificity of Quantile Regression with respect to these other methods is to provide an estimate of conditional quantiles of the dependent variable instead of conditional mean. The Quantile Regression method belongs to a larger family of models called GLM (Generalized Linear Models) as do the ANCOVA. Using the Quantile Regression, we want to find out how the weight of the children varies with their gender (a qualitative variable that takes value f or m), their height and their age, and to verify if a linear model makes sense. Goal of this tutorial on Quantile Regression They concern 237 children, described by their Gender, Age in months, Height in inches (1 inch = 2.54 cm), and Weight in pounds (1 pound = 0.45 kg). Introduction to Experimental Ecology, New York: Academic Press, Inc. Dataset for running a Quantile Regression ![]() Not sure this is the modeling feature you are looking for? Check out this guide. This tutorial will help you set up and interpret a Quantile regression in Excel using the XLSTAT software.
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