I have run my logistic regression model to find out whether the gender of a test name is a predictor of the gender of the word assigned to the test name.
q2.glm=glm(item.gender ~ test.gender, data=q2data, family="binomial") summary(q2.glm)
R has returned the following coefficients:
Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 0.05365 0.12384 0.433 0.66484 test.gender 0.48794 0.17836 2.736 0.00623 **
I understand the P value for test.gender means I can reject the null hypothesis that the gender of the test name has no influence on the gender of the word assigned to it, however I don't understand how to interpret the other values.
Please can someone explain what the other values mean? What does the intercept category mean? many thanks - I have a big project due soon and am struggling to understand it!