Issue ploting data and linear basis using matlines

I'm trying to get a linear basis to be plotted one the same graph as my data points and predicted model however I am not able to figure out how to combine the two using the matlines and matplot functions in R. Here is the code that I am using,

require(faraway)
require(splines)
data(exa, package="faraway")

matplot(bs(exa$x,10,degree=1),type="l",ylab="")
lmod <- lm(y ~ bs(x,10,degree=1),exa)
plot(y ~ x, exa, col=gray(0.75))
lines(predict(lmod) ~ x, exa, lty=2)
matlines(bs(exa$x,10,degree=1),predict(lmod) ,type="l",ylab="")

Which produces the following two plots,

The first plot is what I expect it to be however the second plot seems very distorted and I cannot figure out how to get the second plot to display properly. It appears that the axis is somehow distorted as I am expecting the linear basis to be plotted on the x-axis. I am expecting the second plot to appear something similar to this,

Any help is greatly appreciated.

You're probably just confused by the formula notation. In the plotting sequence you always want the same x=.

with(exa, plot(x=x, y=y, col=gray(0.75), pch=20))
with(exa, lines(x=x, y=predict(lmod), lty=2))
with(exa, matlines(x=x, y=bs(x, 10, degree=1), type="l", ylab=""))