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Portable Network Graphic  |  1994-04-29  |  91KB  |  816x1056  |  8-bit (256 colors)
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OCR: SSE, DFE MSE are the sum-of- f-squares, degrees of freedom, an mean square error (residual) of the current model. R-Square the proportion of the variation in the response that cai be attributed to terms in the model rather than to random error Adj R-Square adjusts R-square to make it more comparable over models with different numbers of parameters by using the degrees freedom in computation. The adjusted R-square useful in stepwise procedure because you are looking at many different mode and want to adjust for the number of terms in the model. Cp ic Mallow's Cp criterion for selecting model. It is an alternative measure of total squared error defined (SSEp / where the MSE for the full model and SSEp is the sum- -of- -squares error fo model with variables and the intercept if graphed with M ...