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Introduction to REGRESSION! | SSE, SSR, SST | R-squared | Errors (ε vs. e)

zedstatistics 1,428,311 lượt xem 13 years ago
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UPDATED VERSION OF THIS VIDEO FOR 2023! Check it out here:
https://www.youtube.com/watch?v=eYTumjgE2IY

All videos here: http://www.zstatistics.com/
The first video in a series of 5 explaining the fundamentals of regression.

See the whole regression series here:
https://www.youtube.com/playlist?list=PLTNMv857s9WUI1Nz4SssXDKAELESXz-bi

Please note that in my videos I use the abbreviations:
SSR = Sum of Squares due to the Regression
SSE = Sum of Squares due to Error.

Intro: 0:00
Y-hat line: 2:26
Sample error term, e: 3:47
SSR, SSE, SST: 8:40
R-squared intro: 9:43
Population error term, ε: 12:11

Second video here: http://www.youtube.com/watch?v=4otEcA3gjLk

Ever wondered WHY you have to SQUARE the error terms??

Here we deal with the very basics: what is regression? How do we establish a relationship between two variables? Why must we SQUARE the error terms? What exactly is SSE, SSR and SST? What is the difference between a POPULATION regression function and a SAMPLE regression line? Why are there so many different types of error terms??

Enjoy.

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