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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