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.
If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.
Enjoy! 🥳
Watch video Quantile Regression as The Most Useful Alternative for Ordinary Linear Regression online without registration, duration hours minute second in high quality. This video was added by user yuzaR Data Science 14 December 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 18,564 once and liked it 621 people.