Hi All,
I have data with 400 individuals and the following information
Grade: pass or fail
Sex: male or female
Age
Teaching.metho : can be 1,2,3
TotalHours: can be 0,1,2
I want to fit a logistic regression and for the TotalHours I am getting
nothing! What could be the reason. What does the following message mean ?
[Coefficients: (1 not defined because of singularities)]
Below is my output
Thanks for your help
Call:
glm(formula = Grade~ sex + age + teaching.method+ TotalHours,
family = binomial, data = data)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.3844 -0.9686 -0.7688 1.2304 1.8871
Coefficients: (1 not defined because of singularities)
Estimate Std. Error z value Pr(>|z|)
(Intercept) -3.62178 1.20480 -3.006 0.00265 **
sex -0.32709 0.28539 -1.146 0.25175
age 0.04405 0.01371 3.213 0.00132 **
teaching.method 0.23878 0.20553 1.162 0.24533
TotalHours NA NA NA NA
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 297.38 on 223 degrees of freedom
Residual deviance: 282.93 on 220 degrees of freedom
AIC: 290.93
--
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