希望bobguy和jingju11等高手相助！
问题是这样的：A retailer of hand-held organizers wants to relate the ownership of the devices with annual income of the purchaser. Data is collected on 20 people and can be found in the file . The data includes ownership of a handheld is indicated by y=1 and purchaser annual income x.

如果我不将收入分类，直接run出来的结果是income的相关性不高的，但是我又不知该如何分类。我试过按收入区间20000-30000,30000-40000这样分类，但结果还是不行。的确同样量太小了，但如果非要计算，该如何呢？在此求助了！！谢谢！！

The LOGISTIC Procedure

Model Information

Data Set _PROJ_.PALMORG
Response Variable Ownership Ownership
Number of Response Levels 2
Number of Observations 20
Model binary logit
Optimization Technique Fisher's scoring


Response Profile

Ordered Total
Value Ownership Frequency

1 1 7
2 0 13

Probability modeled is Ownership=1.


Model Convergence Status

Convergence criterion (GCONV=1E-8) satisfied.


Model Fit Statistics

Intercept
Intercept and
Criterion Only Covariates

AIC 27.898 29.193
SC 28.894 31.184
-2 Log L 25.898 25.193


Testing Global Null Hypothesis: BETA=0

Test Chi-Square DF Pr > ChiSq

Likelihood Ratio 0.7051 1 0.4011
Score 0.7045 1 0.4013
Wald 0.6778 1 0.4104


Analysis of Maximum Likelihood Estimates

Standard Wald
Parameter DF Estimate Error Chi-Square Pr > ChiSq

Intercept 1 -1.6008 1.3041 1.5068 0.2196
income 1 0.000022 0.000027 0.6778 0.4104
1 17:47 Saturday, February 15, 2003 2

The LOGISTIC Procedure

Odds Ratio Estimates

Point 95% Wald
Effect Estimate Confidence Limits

income 1.000 1.000 1.000


Association of Predicted Probabilities and Observed Responses

Percent Concordant 70.3 Somers' D 0.418
Percent Discordant 28.6 Gamma 0.422
Percent Tied 1.1 Tau-a 0.200
Pairs 91 c 0.709