[R] Std. errors of intercept and slope
Ben Bolker
bolker at zoo.ufl.edu
Fri Sep 26 23:33:53 CEST 2003
Since the intercept and slope are estimated parameters, they have
sampling distributions described by their means and standard deviations.
The s.d. tells you the size of the uncertainty in intercept & in slope.
This is a pretty basic stats question -- you need to refer to a standard
textbook or reference material ...
Ben Bolker
On Fri, 26 Sep 2003, Yao, Minghua wrote:
> Dear all,
>
> I have the following output generated by linear regression. Since there is
> only one regression intercept and one slope for one set of data, what is the
>
> meaning of std. error for intercept and that of slope? Thanks in advance.
>
> Sincerely,
>
> Minghua
>
>
> > data(thuesen)
> > attach(thuesen)
> > lm(short.velocity~blood.glucose)
>
> Call:
> lm(formula = short.velocity ~ blood.glucose)
>
> Coefficients:
> (Intercept) blood.glucose
> 1.09781 0.02196
>
> > summary(lm(short.velocity~blood.glucose))
>
> Call:
> lm(formula = short.velocity ~ blood.glucose)
>
> Residuals:
> Min 1Q Median 3Q Max
> -0.40141 -0.14760 -0.02202 0.03001 0.43490
>
> Coefficients:
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) 1.09781 0.11748 9.345 6.26e-09 ***
> blood.glucose 0.02196 0.01045 2.101 0.0479 *
> ---
> Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
>
> Residual standard error: 0.2167 on 21 degrees of freedom
> Multiple R-Squared: 0.1737, Adjusted R-squared: 0.1343
> F-statistic: 4.414 on 1 and 21 DF, p-value: 0.0479
>
> >
>
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