Hi,
I have a problem with the df.
I read in a big csv file.

Tabelle <- 
read.csv("C:\\Users\\Public\\Documents\\Bachelorarbeit\\eingabe8_durchnummeriert.csv"
 , header = T , sep=";")


then I try this:

> ygamma <- glm(Tabelle$sb_ek_ber ~1+ Tabelle$FAHRL_C + Tabelle$NUTZKREIS + 
> Tabelle$schw_drittel_c   , family = Gamma)

>  anova(ygamma, test="Chisq")

Analysis of Deviance Table

Model: Gamma, link: inverse

Response: Tabelle$sb_ek_ber

Terms added sequentially (first to last)


                       Df Deviance Resid. Df Resid. Dev  Pr(>Chi) 
   
NULL                                    1236805   35451551 
             
Tabelle$FAHRL_C         1       33987   1236804   35417564 0.0018493 
** 
Tabelle$NUTZKREIS       1      48903   1236803   35368661 0.0001880 ***
Tabelle$schw_drittel_c   1       47328   1236802   35321334 0.0002388 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ 
’ 1 

> str(Tabelle)
'data.frame':   1236806 obs. of  9 variables:
 $ Alter_Jüngster_C_inkl_AlterNutz: int  1 1 1 1 1 1 1 1 1 1 ...
 $ ALTERKAU_C                     : int  1 2 2 1 3 3 3 4 1 1 ...
 $ FAHRL_C                        : int  1 2 1 3 4 3 3 1 5 1 ...
 $ NUTZKREIS                      : int  1 2 2 2 2 2 2 1 1 2 ...
 $ RKL_U12                        : int  1 1 1 2 3 4 4 3 5 6 ...
 $ SF_Sonder_aufgefüllt           : int  1 2 3 4 4 4 4 5 6 7 ...
 $ schw_drittel_c                 : int  1 2 3 4 3 3 3 3 1 1 ...
 $ sb_ek_ber                      : num  0.001 0.001 0.001 0.001 
0.001 0.001 0.001 0.001 0.001 0.001 ...
 $ JE_gewichtet                   : num  0.384 3.952 3.952 2.81 
3.952 ...

I don't understand why the df are always 1.

it would be great if you could help me.
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