My question is about the "Signif. codes" and the p-value, specifically, the
output when I run
summary(nameofregression.lm)
So you get this little key:
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
And on a regression I ran, next to the intercept data, I get '***'
Coefficients:
>
> Estimate Std. Error t value Pr(>|t|)
>
> (Intercept) 7.95652 0.59993 13.262 <2e-16 ***
>
> day.f2 -0.04348 0.84843 -0.051 0.959
>
> day.f3 -0.13043 0.84843 -0.154 0.878
>
> day.f4 -0.21739 0.84843 -0.256 0.798
>
> day.f5 0.02174 0.84843 0.026 0.980
>
> day.f6 -0.15217 0.84843 -0.179 0.858
>
> day.f7 0.14986 0.84390 0.178 0.859
>
>
Does this mean that these numbers have a 0% chance of being wrong? Is there
a way to change this to the .05 level of significance?
Thanks,
John
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