When we try to explain the total variation in Y (SST) with one explanatory variable, X, then there are exactly two sources of variability. First ... ... <看更多>

I'm trying to create a function that shows the SST, SSR & SSE of a univariate linear regression equation like so, ... <看更多>

R SQUARED: SST, SSE AND SSR: ... SSTotal=SSExplained+SSResidual ... So if the model explained all the variation, SSResidual=∑(yi−ˆyi)2=0, and R2=1. ... <看更多>

標題Re: [問題] 如何證明SST=SSR+SSE. 時間Fri Oct 13 20:47:38 2006. ※ 引述《wu110011 (夜羽.星)》之銘言： : 請問如何證明SST=SSR+SSE - ^ ^ - SST = Σ(yi-y)^2 ... ... <看更多>

#Solving for the values of SSR,SSE, and SST using matrix in R. #Codes: #Lets input first everything we need in the computations. ... <看更多>