How to write the model formulae with my results and how to explain from the statistical view?

Dear friends,
If you are familiar with the generalized linear model, please look at
my results and tell me How to write the model formulae with my results
and how to explain from the statistical view?
How to evaluate the model?
Thanks very much!

My SAS programs are:
proc genmod data=b;
class grass altitude;
model snail = soiltem gheight grass altitude humidity airtem /
dist=gamma type3;
run;

My main results:

Class Level Information

Class Levels Values

grass 4 diluo huanfai hucao
yuhao
altitude 2 1 2


Criteria For Assessing Goodness Of Fit

Criterion DF Value
Value/DF

Deviance 153 43.2122
0.2824
Scaled Deviance 153 168.8653
1.1037
Pearson Chi-Square 153 42.0222
0.2747
Scaled Pearson X2 153 164.2151
1.0733
Log Likelihood -753.7288


Analysis Of Parameter Estimates

Standard
Wald 95% Confidence Chi-
Parameter DF Estimate Error Limits
Square Pr > ChiSq

Intercept 1 0.0041 0.0098 -0.0151
0.0234 0.18 0.6730
soiltem 1 -0.0002 0.0001 -0.0004
0.0000 2.98 0.0843
gheight 1 -0.0001 0.0001 -0.0002
-0.0000 4.41 0.0357
grass diluo 1 0.0019 0.0020 -0.0020
0.0057 0.91 0.3413
grass huanfai 1 0.0151 0.0040 0.0072 0.0230
14.05 0.0002
grass hucao 1 0.0021 0.0017 -0.0013 0.0055
1.45 0.2285
grass yuhao 0 0.0000 0.0000 0.0000 0.0000
. .
altitude 1 1 -0.0051 0.0018 -0.0087
-0.0015 7.62 0.0058
altitude 2 0 0.0000 0.0000 0.0000
0.0000 . .
humidity 1 0.0680 0.0220 0.0249
0.1111 9.55 0.0020
airtem 1 0.0000 0.0001 -0.0001
0.0002 0.15 0.7002
Scale 1 3.9078 0.4170 3.1703
4.8169

LR Statistics For Type 3 Analysis

Chi-
Source DF Square Pr >
ChiSq

soiltem 1 2.91
0.0881
gheight 1 4.26
0.0390
grass 3 17.55
0.0005
altitude 1 7.64
0.0057
humidity 1 9.11
0.0025
airtem 1 0.15
0.6984

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