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Hi thanks for the video! Would you expect that going forward vs backwards would always produce the same model? I assume the answer is no (otherwise they wouldn't both need to exist), and it seems like you started to explain it a bit at the end, but I'm not sure I understand the difference. Further, it seems like if a linear model is the right model, and the fwd/bwd options exist, you would always want to create your lm's in this way since it will produce the most explanatory model. Is that a reasonable conclusion? Thanks in advance!
Hey Greg, love your video but PLEASE STOP THE SCRATCHING NOISES everytime you try to underline or point out something it nags me, idk if anyone's noticed but as a headphones users it feels like scratching with your nails on a chalkboard. Thank you.
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Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/pages/membership-r-programming-data-visualization-and-research-methods
Never stop uploading please! Love your videos. You explain everything really well!
Hi thanks for the video! Would you expect that going forward vs backwards would always produce the same model? I assume the answer is no (otherwise they wouldn't both need to exist), and it seems like you started to explain it a bit at the end, but I'm not sure I understand the difference.
Further, it seems like if a linear model is the right model, and the fwd/bwd options exist, you would always want to create your lm's in this way since it will produce the most explanatory model. Is that a reasonable conclusion? Thanks in advance!
A video on nonlinear regression would be interesting.
As would one on multinomial and ordinal regression :)
Sir could u explain me in simple how does PCA work??❤
Hey Greg, love your video but PLEASE STOP THE SCRATCHING NOISES everytime you try to underline or point out something it nags me, idk if anyone's noticed but as a headphones users it feels like scratching with your nails on a chalkboard. Thank you.
it is not working for me please someone help because of this %>%
you need to install the tidyverse package.
Please don Forward steowise regression