Logistic Regression results, Please Help. Thank You

[Kanyange]

Hi All,

I have  built a Logistic Regression Model and I get the results below...The variables with a high Chi-Square below (Var1 and Var6)..Should they be removed from the model?

Thank You

		Analysis	of Maximum	Likelihood	Estimates
Parameter	DF	Estimate	Standard Error	Wald Chi-Square	Pr	Pr> ChiSq	Standardized Estimate	Exp(Est)
Intercept	1	-2.8145	0.004	495,784.70		<.0001		0.06
Var 1	1	0.0758	0.000357	45,168.02		<.0001	0.2661	1.079
Var 2	1	0.3646	0.00753	2,345.72		<.0001	0.0403	1.44
Var 3	1	-0.0912	0.00186	2,407.66		<.0001	-0.052	0.913
Var 4	1	0.7891	0.00809	9,506.31		<.0001	0.0981	2.201
Var 5	1	0.1089	0.00334	1,060.29		<.0001	0.0339	1.115
Var 6	1	1.098	0.00339	104,610.00		<.0001	0.7095	2.998
Var 7	1	0.153	0.00239	4,092.80		<.0001	0.062	1.165

[user24feb]

I think a statistically right way would be, if you run the regression again - without var1 & var6 - and compare the likelihood functions. If they don't differ much, you don't need the 2 variables. (Likelihood-Ratio-Test: Subtract lambda=2*(likelihood with var1&var6 - likelihood without var1&var6) -> get value of the chi-squared distribution with 2 degrees of freedom -> if the result is almost zero (e.g. <0.01) the 2 variables should not be excluded.)