Become a generalized linear model ninja. Trade secrets they don't want you to know about

[@nl7247]

Thank you to you both, very comprehensive and helpful.❤❤❤

[@zhaoyuanqi]

really impressive, really

[@MrJegerjeg]

I was looking recently into weighted linear regression. Apparently, in the case that the residuals violate the homoscedasticity assumption, one thing you can do is to give weights to the values when calculating the least squares function. It seems to me that both the weighted linear regression and GLMs with the link function are trying to solve the same problem with different techniques. Is that so or I am missing something? Thanks!

[@mayagoldstein1950]

Hi Dustin! Do you have a video where you explain Box cox transformation? would you recommend applying such transformation when the data is not normally distributed with multimodality?

[@mayagoldstein1950]

I found it! Here you apply box cox transformation using r: kzbin.info/www/bejne/qqCWqJqoa6-ofqc

[@LongevityEngineer]

Thank you!!

[@luisa1551]

Thanks! and I am confused :-) The function your call log function for me is a natural exponential function. Do you call it log because you need to use the log to solve it? or do I have the concepts confused?

[@QuantPsych]

Probably. I'm not entirely consistent in my reference to logs/natural exponents.

[@imma2222]

🤣🤣🤣 COOLEST STATS LESSONS. THANK YOU !!!