[R] Interpreting Multiple Linear Regression Summary

[B77S]

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
> output:
> 
>   summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4))
> 
> Call:
> lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4)
> 
> Residuals:
> 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
> not
> 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.
> 
> Puzzled,
> 
> Rich
> 
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
> 


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