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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