Regression 1 : What is regression? | SSE, SSR, SST | R-squared | Errors (ε vs. e)

[ejgi]

and thanks for sharing!

[sachin01663]

First of all, very well explained. Thanks a lot. Small doubt--

SSR and SSE concept is little confusing.

According to wikipedia - Explained sum of squares and SSR is not same. SSR is a measure of the discrepancy between the data and an estimation model.

However, according to your video, its the Squared distance between 'Mean value (not actual) and Predicted Value'. SSR and Explained Sum of Squares is same.

Any explanation will be very useful.

Sachin -- sachin01663@gmail.com

[juzzzeltzer]

@sachin01663 Hey Sachin. You gotta be careful with the sums of squares. I've used

SSR = Sum of Squares to due Regression.

SSE = Sum of Squared Errors.

Some textbooks use SSR = Sum of Squared RESIDUALS. Which would be the same as my SSE. It sounds like that wiki definition is doing that! So yep, it's a little confusing when different sources use different abbreviations, but you'll find that happens ALOT in stats. So just be careful to define your acronyms when you use them.

Hope that helps

[sachin01663]

@juzzzeltzer ~ Thanks a lot.

[julsiebear]

Love it. Many thanks!

[nyczcrzyazn1]

You explained the concepts better than my professor! Thank you!!

[StanleyMT]

Awesoooomeee. I have an exam in 13 days an this helped a LOT