Hi guys, I could use some help interpreting my R Studio Output. I am doing an ordinal logistic regression and am struggling to interpret the output.
> model_fit <- polr(BerufKategorie~EA+EK+Alter+Geschlecht+ Motivation*EK +Motivation*EA, data = BAw, Hess = T) > summary(model_fit) Call: polr(formula = BerufKategorie ~ EA + EK + Alter + Geschlecht + Motivation * EK + Motivation * EA, data = BAw, Hess = T) Coefficients: Value Std. Error t value EA -6.10712 4.17810 -1.4617 EK -1.98408 3.34476 -0.5932 Alter 0.01648 0.01065 1.5479 Geschlecht 0.25441 0.27454 0.9267 Motivation -1.68006 0.87583 -1.9182 EK:Motivation 0.56140 0.99528 0.5641 EA:Motivation 1.71133 1.21433 1.4093 Intercepts: Value Std. Error t value 1|2 -5.8061 3.1396 -1.8493 2|3 -3.6051 3.1219 -1.1548 Residual Deviance: 411.282 AIC: 429.282
specific questions I have:
Is Value the b or the beta?
What exactly are the intercepts? 1, 2, and 3 are the categories of my independent variable, but I thought the intercept was the value when everything else is 0 so this doesn't make sense to me.
How do I get the confidence intervals and the R square from here?
I am an absolute beginner at this so I would appreciate someone explaining.
Thanks in advance.