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#2100925 ·published 2012-01-08 03:59 UTC
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Fit Y by X Group


#Logistic Fit of 0-10207-01-333 By Latitude



Whole Model Test

#Model	 -LogLikelihood	DF	ChiSquare	Prob>ChiSq
#Difference	0.43873	1	0.877462	0.3489
Full	372.60451			
Reduced	373.04324			




 	 
RSquare (U)	0.0012
AICc	749.225
BIC	758.406
Observations (or Sum Wgts)	734
	
	
	




Measure	Training	Definition
Entropy RSquare	0.0012	1-Loglike(model)/Loglike(0)
Generalized R-Square	0.0019	(1-(L(0)/L(model))^(2/n))/(1-L(0)^(2/n))
Mean -Log p	0.5076	∑ -Log(ρ[j])/n
RMSE	0.4040	√ ∑(y[j]-ρ[j])²/n
Mean Abs Dev	0.3264	∑ |y[j]-ρ[j]|/n
Misclassification Rate	0.2057	∑ (ρ[j]≠ρMax)/n
N	734	n
		




Parameter Estimates

Term	 	Estimate	Std Error	ChiSquare	Prob>ChiSq
Intercept		-4.1053941	5.8828227	0.49	0.4853
Latitude		0.17649159	0.1903423	0.86	0.3538


For log odds of C/G