I'm trying to run an ordered logistic regression model. I've run the following
code, but the output does not provide the p-values. Is there some command to
include the p-values in the output.
reg2 <- polr(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 +
employment2 + union2 + home2 + market2 + race2 + income2)
summary(reg2)
Re-fitting to get Hessian#
Call:
polr(formula = trade1 ~ age2 + education2 + personal2 + economy2 +
partisan2 + employment2 + union2 + home2 + market2 + race2 +
income2)
Coefficients:
Value Std. Error t value
age2 0.003499077 0.006006362 0.5825617
education2 -0.232741995 0.048080310 -4.8406924
personal2 -0.117131182 0.089053504 -1.3152900
economy2 -0.308168069 0.104511809 -2.9486435
partisan2 -0.103307636 0.091802806 -1.1253211
employment2 -0.097811420 0.378070202 -0.2587123
union2 0.038079199 0.168729702 0.2256817
home2 0.274581851 0.157926099 1.7386730
market2 -0.195350757 0.153563376 -1.2721181
race2 -0.057407307 0.112952281 -0.5082439
income2 -0.130017473 0.068047763 -1.9106796
Intercepts:
Value Std. Error t value
5. Oppose|0. Haven't thought much about this -3.0450 0.8797 -3.4613
0. Haven't thought much about this|1. Favor -1.1990 0.8732 -1.3730
Residual Deviance: 1609.821
AIC: 1635.821
(936 observations deleted due to missingness)
Help!!!!!!!!!!!!
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