Quantile regression is a type of regression analysis used in statistics that estimates the relationship between independent variables and specific quantiles (percentiles) of the dependent variable's distribution, rather than just focusing on the mean (as in ordinary least squares regression). This method allows for a more comprehensive analysis of the impact of independent variables across different points in the distribution of the dependent variable.
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