我必须使用 GLM 来解释一些数据。任何人都可以通过查看输出来告诉我这是否正确？

如果是 - 它是否重要？

这是我使用的代码：

genderglm <- glm(glasses ~ gender + books, 
           data=worksheet, family=binomial)
summary(genderglm)

这是输出：

> summary(genderglm)

Call:
glm(formula = glasses ~ gender + books, 
    family = "binomial", 
    data = worksheet)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.4756  -1.2508  -0.1428   1.0032   1.8038  

Coefficients:
             Estimate Std. Error z value Pr(>|z|)   
(Intercept)    0.6784     0.2954   2.296  0.02167 * 
genderMale    -1.3254     0.4736  -2.799  0.00513 **
genderOther  -16.2444  1455.3976  -0.011  0.99109   
books         -0.2537     0.1381  -1.837  0.06620 . 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 163.55  on 117  degrees of freedom
Residual deviance: 149.14  on 114  degrees of freedom
AIC: 157.14

Number of Fisher Scoring iterations: 14