Quantile Regression Theory | Non OLS Regression

Quantile Regression is a kind of regression that is different from the OLS based linear regression. It is useful when one is interesting to know how impact of predictors varies with quantiles in the population data. Quantile regressions are different from the normal linear regression & Logistic regression. These are highly useful in many data science predictive model building

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Models for conditional quantiles of the dependent variable

In contrast to OLS based regression – that model for conditional mean


In certain cases, more than mean, it’s the lower and quantiles that are of interest – Body Mass Index(BMI)


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