Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression

Описание к видео Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression

Quantile Regression is The Most Useful Alternative for Ordinary Linear Regression, because it:

- is robust to outliers and influential points
- does not assume a constant variance (known as homoskedasticity) for the response variable or the residuals
- does not assume normality
- but the main advantage of QR over linear regression (LR) is that QR explores different values of the response variable, instead of only the average, and delivers therefore a more complete picture of the relationships between variables.

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Enjoy! 🥳

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