By the way, how about:
plot(y,mylm$residuals)
So you can have an idea of your error distribution across your response
variable domain. :-)
milton
toronto=brazil
On Sat, Sep 19, 2009 at 9:02 PM, Sunil Suchindran wrote:
> x <- seq(50)
>
> y <- 10 + x * 2 + rnorm(50,0,10)
>
> plot(y~x)
>
> mylm =
x <- seq(50)
y <- 10 + x * 2 + rnorm(50,0,10)
plot(y~x)
mylm = lm(y~x)
# Use str(mylm) to see how to get the residuals
plot(x,mylm$residuals)
On Sat, Sep 19, 2009 at 8:35 PM, Jason Priem wrote:
> Hi,
> I want to plot the residuals of a least-squares regression.
>
> plot(lm(y~x), which=1)
>
Hi,
I want to plot the residuals of a least-squares regression.
plot(lm(y~x), which=1)
does this, but it plots the y-axis of my data on the x-axis of the
residuals plot. That is, it plots the residual for each y-value in the
data. Can I instead use the x-axis of my data as the x-axis of the
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