Its very much confusing for me this point. Some people use SST, SSE, SSR. And you use TSS, RSS, ESS. Where your ESS=SSR, and RSS=SSE. LOL why cant the industry just pick a damn standard.
Fortunately the names here are the same as Wikipedia. Just to illustrate for people who were lost like me: RSS = Residual sum of squares. ESS = Explained sum of squares My current textbook (Frost, Regression: An Intuitive Guide, pg. 41) has: SSE as "Sum of Squared Errors" which is the same as the Residual Sum of Squares (RSS) given here ... RSS as "Regression Sum of Squares" (!) which in Frost's mind is the same as the Explained Sum of Squares (!!!!!) on top of this I have seen Wikipedia refer to: RSS as SSR ("Sum of squared residuals") & ESS as .. wait for it... also SSR ("Sum of squares due to regression") ... smh Sorry but this is bs, journal editors need to have agreed on this by now
I don't think so. Don't look at it as though you have just one point. You have a lot of them. And the total sum of them will always be the addition of ESS and RSS.
Thank you. One of the best explanations of Sum of Squares.
Its very much confusing for me this point. Some people use SST, SSE, SSR. And you use TSS, RSS, ESS. Where your ESS=SSR, and RSS=SSE. LOL why cant the industry just pick a damn standard.
ikr, its killing me cos RSS can be Regression SS or Residual SS. And ESS can be Explained SS or Error SS(?)
They keep switching
it gets damn risky when SSR = SSSR...
finally someone who just explains it obviously
I wonder why my teacher wasn't capable of explaining this clearly. It seems so simple when you explain it. Thank you.
Fortunately the names here are the same as Wikipedia.
Just to illustrate for people who were lost like me:
RSS = Residual sum of squares.
ESS = Explained sum of squares
My current textbook (Frost, Regression: An Intuitive Guide, pg. 41) has:
SSE as "Sum of Squared Errors" which is the same as the Residual Sum of Squares (RSS) given here ...
RSS as "Regression Sum of Squares" (!) which in Frost's mind is the same as the Explained Sum of Squares (!!!!!)
on top of this I have seen Wikipedia refer to:
RSS as SSR ("Sum of squared residuals")
&
ESS as .. wait for it... also SSR ("Sum of squares due to regression") ... smh
Sorry but this is bs, journal editors need to have agreed on this by now
BLESS YOUR SOUL.
This was explained very well, thank you .:) Ben Lambert
Thank you sir!
Thank you for this video resolve my confusion
okay so lets say TSS = 56.8493 what do I do with that number? What does it tell me?
Thank you
Thank you!
Very helpful, thank you
What if the data point is between the line and the mean? That way the ESS would be bigger than the TSS?
I don't think so. Don't look at it as though you have just one point. You have a lot of them. And the total sum of them will always be the addition of ESS and RSS.
@1:50 the way it is being drawn, ESS looks like RSS.Should draw a line from the blue 'x' to the yellow line (mean), and then say that is the ESS.
thank you for this!
Yi, captain!
Formula for ESS and RSS is interchanged over here.....full of confusion