Call: glm(formula = Zulaessig ~ Planungsverfahren + Positivkatalog, family = binomial(link = logit), data = BBdata, subset = Verfahrenstyp3 != "RR")

Deviance Residuals:

Min 1Q Median 3Q Max -3,514 0,065 0,065 0,104 0,354

Coefficients:

Estimate Std. Error z value Pr(>|z|) (Intercept) 3,70305 0,59493 6,2243 4,836e-10 *** PlanungsverfahrenNein -0,96221 0,57090 -1,6854 0,0919 . PositivkatalogNein 2,46865 0,39204 6,2969 3,037e-10 ***

--- Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1

(Dispersion parameter for binomial family taken to be 1 )

AIC: 463,83

Number of Fisher Scoring iterations: 8

Call: glm(formula = Zulaessig ~ BLkurz, family = binomial(link = logit), data = BBdata, subset = Verfahrenstyp3 != "RR")

Deviance Residuals:

Min 1Q Median 3Q Max -3,418 0,000 0,076 0,076 0,402

Coefficients:

Estimate Std. Error z value Pr(>|z|) (Intercept) 2,4739e+00 1,6892e-01 14,6455 < 2,2e-16 *** BLkurzBAY 3,3644e+00 4,7866e-01 7,0288 2,082e-12 *** BLkurzBER 1,9092e+01 5,3371e+03 0,0036 0,997146 BLkurzBRA 1,5604e+00 7,3306e-01 2,1285 0,033292 * BLkurzBRE 1,9092e+01 1,1934e+04 0,0016 0,998724 BLkurzHAM 1,9092e+01 3,1522e+03 0,0061 0,995167 BLkurzHES 1,9092e+01 1,6265e+03 0,0117 0,990635 BLkurzMVP 1,9092e+01 3,3313e+03 0,0057 0,995427 BLkurzNDS 1,5105e+00 5,3215e-01 2,8384 0,004534 ** BLkurzNRW 1,9092e+01 1,2615e+03 0,0151 0,987925 BLkurzRPF 1,9092e+01 2,4884e+03 0,0077 0,993878 BLkurzSAA 9,1068e-02 1,0514e+00 0,0866 0,930977 BLkurzSAC 1,9092e+01 2,0880e+03 0,0091 0,992705 BLkurzSAN 1,9092e+01 2,3110e+03 0,0083 0,993408 BLkurzSLH 1,9092e+01 1,6630e+03 0,0115 0,990840 BLkurzTHU 1,8828e+00 1,0205e+00 1,8451 0,065028 .

--- Signif. codes: 0 '***' 0,001 '**' 0,01 '*' 0,05 '.' 0,1 ' ' 1

(Dispersion parameter for binomial family taken to be 1 )

AIC: 445,58

Number of Fisher Scoring iterations: 20

Weiter