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5#
发表于 2011-7-13 15:49
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I expanded on what jgrandits gave us and came up with this below for anyone that wants it. The tabbing is off but you can paste this into word and fix that.
Sum of Squares Mean Sum of Squares F
Regression K RSS MSR(RSS/K) (MSR/MSE)
Error N-K-1 SSE MSE(SSE/N-K-1)
Total N-1 SST(RSS+SSE)
F-Value = MSR/MSE
R^2 = RSS/SST
RMSE = sqrt(MSE)
The only thing that needs to be given is 2 of the following 3 (RSS, SSE, or SST) along with the # of observations and the number of degrees of freedom.
N: Number of Observations
K: Degrees of Freedom
RSS: Regression Sum of Squares
SSE: Sum of Squared Errors
SST: Total Sum of Squares – Total Variation
MSR: Mean Square of Regression
MSE: Mean Square of Errors
SSE: Standard Error of Estimates |
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