Question about linear regression in R
What exactly is it that's worrying you? It's a problematic regression for a few reasons, but ultimately it seems pretty ok, though I'd be ever so slightly worried about the R^2 value being misinterpreted. Michael
On Mon, Nov 14, 2011 at 10:49 PM, Miles Yang <miles2yang at gmail.com> wrote:
Hi all, I wrote a r program as below: x <- 1:10 y <- c(3,3,3,3,3,3,3,3,3,3) fit <- lm(log(y) ~ x) summary(fit) And I expect to get some error message from R, because "y" is constant. But, I got the message as below:
summary(fit)
Call: lm(formula = log(y) ~ x) Residuals: ? ? ? Min ? ? ? ? 1Q ? ? Median ? ? ? ? 3Q ? ? ? ?Max -6.802e-17 -3.933e-17 -1.063e-17 ?1.807e-17 ?1.530e-16 Coefficients: ? ? ? ? ? ? ?Estimate Std. Error ? ?t value Pr(>|t|) (Intercept) ?1.099e+00 ?4.569e-17 ?2.404e+16 ? <2e-16 *** x ? ? ? ? ? -1.275e-17 ?7.364e-18 -1.732e+00 ? ?0.122 --- Signif. codes: ?0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 6.688e-17 on 8 degrees of freedom Multiple R-squared: 0.5794, Adjusted R-squared: 0.5269 F-statistic: 11.02 on 1 and 8 DF, ?p-value: 0.01054 How could this be possible? Did I missing something in my R code? Best, Miles -- ?????????????????? Miles Yang Mobile?+61-411-985-538 E-mail?miles2yang at gmail.com ?????????????????? ? ? ? ?[[alternative HTML version deleted]]
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