Checking assumptions of the linear model

  Рет қаралды 47,878

Drew Tyre

Drew Tyre

7 жыл бұрын

Пікірлер: 19
@Roberuto-san
@Roberuto-san 2 жыл бұрын
This was the best explation over this topic I had. Thank you so much.
@Ismailfoda-h2v
@Ismailfoda-h2v Күн бұрын
Excellent explanation !!
@JoshCamacho
@JoshCamacho
THANK YOU! I was doing some googling to try and better understand what this chart was trying to explain in R and this video is exactly what I needed.
@Ismailfoda-h2v
@Ismailfoda-h2v Күн бұрын
excellent explanation !!
@romie948
@romie948 Жыл бұрын
Wow it's all so clear now, thank you so so much ^-^
@gk9356
@gk9356 Жыл бұрын
Great video. Thank you for the clear explanation!!!
@diegocarmona4431
@diegocarmona4431 Жыл бұрын
Good video my man
@vivekd6297
@vivekd6297 2 жыл бұрын
Neatly Explained! Thank you Drew :)
@JamesSmith-kk1yc
@JamesSmith-kk1yc 3 жыл бұрын
Clear and succinct presentation. This was helpful for me. Thanks!
@luca7x689
@luca7x689 3 жыл бұрын
Great explanation. Thank You.
@ridwanshittu617
@ridwanshittu617 3 жыл бұрын
Very helpful, thank you
@gregoryastill4581
@gregoryastill4581 2 жыл бұрын
Edited: Thank you for this walk through. I just want to get your opinion on how you view the assumptions underlying regression methods. Compared to my field [applied econometrics], would you expect the assumptions to be violated to some degree as applied in ecological statistics? Is the hope of the applied [statistician] that the model is a good-enough approximation of the process that generated the observed data? How does one distinguish that good-enough threshold? Finally, does removing outliers to attain better measured deviations increase the risk of overfitting?
@rubyanneolbinado95
@rubyanneolbinado95
Hello. I'm so confused. Why is R studio producing different results while using the same call. 😢
@sariponnet4033
@sariponnet4033 3 жыл бұрын
nice video!
@Shervin0o
@Shervin0o 2 жыл бұрын
Any chance of getting access to the code used to generate the plots used in this video? Thanks!
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