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zakruti.com » Knowledge, science, education » Crash Course
Regression: Crash Course Statistics #32

Regression: Crash Course Statistics #32

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Rating: 4.0; Vote: 1
Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM. GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and politics. Today we're going to build a hypothetical model to look at the relationship between likes and comments on a trending YouTube video using the Regression Model. We'll be introducing other popular models over the next few episodes
Date: 2022-04-04

Comments and reviews: 7


ABSOLUTELY FANTASTIC COURSE EXPLAINED IN LUCID LANGUAGE.
ONE SMALL SUGGESTION:
Your course is viewed and admired across the globe.
So, request you to give culture neutral examples.
Eg: I had to google Trick or treating Halloween
Rest is awesome.
keep going.

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I can't give this a like, because I think you took way too long to get to degrees of freedom, and gave the strong impression that F was defined as SSR/SSE for most of the presentation. I would introduce the mean squares MSR and MSE first.
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Did anyone else notice the bell curve in the background and where she sits positions her as being among the average? how funny is that! I-m not showing off my observational skills at all it-s just an observation.
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This is great, especially the explaination of degrees of freedom. I never really understood it through five years of Economics so thank you.
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If linear regression is for straight lines, how can regression be used to detect a curve? After all, how common a straight lines in science.
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the best thing about the video is how the pumpkin and the transformer slowly eat all the candy worms that were on the table during the video
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she is very faaaaaaaaast. actually she is a radio & tv reporter not a mathematician, so, I really can't understand anything from her.
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