在设多分类变量时,结果如何解释。
Analysis of Maximum Likelihood Estimates
Parameter DFEstimateStandard
ErrorWald
Chi-SquarePr > ChiSq
Intercept 1-9.59041.772429.2779<.0001
AGE_92 10.09720.022818.2153<.0001
CHO_02 1-0.47250.27852.87940.0897
BEER_02210.43850.87210.25280.6151
BEER_0231-0.64820.88120.54120.4620
BEERg_02211.29190.61034.48160.0343
BEERg_0231-1.77501.52481.35510.2444
WINEg_0221-0.73050.53681.85150.1736
WINEg_02311.60301.20131.78060.1821
AMIFM_02210.71330.41192.99860.0833
AMIFM_0231-0.63200.73920.73100.3926
AMIFM_0241-0.22801.04810.04730.8278
EXERCISE_02210.86990.39404.87520.0272
EXERCISE_02310.59280.58951.01150.3146
EXERCISE_02410.72330.44152.68460.1013
EXERCISE_0251-0.12911.07500.01440.9044