r - Trouble with Slope of a Regression Line in ggplots2 -


i want bubble plot regression line analysis did predicting proportion of votes hillary clinton on bernie sanders in each county's democratic primary. however, geom_smooth() keeps making line wrong slope , intercept. lm out put this:

             estimate   std. error  t-value  p-value (intercept)  0.146790   0.058166    2.524    0.011737 *   assocareer  -0.102984   0.020378   -5.054    4.97e-07 ***

but graph comes out looking this:

enter image description here

my code looks this:

ggplot(data, aes(x=assocareer, y=prop.h, color="green")) + geom_point(aes(size =bins, shape="solid",alpha=.2),pch=21, bg='cyan1') +   geom_text(hjust = 1, size = 2, label=' ') +  coord_cartesian(ylim=c(0,1.5)) +  geom_smooth(method="lm", na.rm=t)+  xlab("county level explicit association career-men")+  ylab("proportion of hillary voters")+  ggtitle(paste('proportion of votes clinton on bernie'))

can tell why might happening?


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