[R] Interpreting Multiple Linear Regression Summary
bps0002 at auburn.edu
Wed Nov 9 18:23:31 CET 2011
Please see ?dput
use dput(your data) and paste the output into a reply, thanks.
This way we know what you are working with.
Rich Shepard wrote:
> I would appreciate pointers on what I should read to understand this
> summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4))
> lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4)
> ALL 1 residuals are 0: no residual degrees of freedom!
> Coefficients: (6 not defined because of singularities)
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) 125 NA NA NA
> Cond NA NA NA NA
> Ca NA NA NA NA
> Cl NA NA NA NA
> Mg NA NA NA NA
> Na NA NA NA NA
> SO4 NA NA NA NA
> Residual standard error: NaN on 0 degrees of freedom
> (63 observations deleted due to missingness)
> When I look at the summary for the data frame used for this model I do
> see an excessive number of missing values or indications why there are no
> residual degrees of freedom. The same model applied to 8 other data frames
> did not produce similar results.
> R-help@ mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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