[R] Signif. codes

[Joe King]

There will always be uncertainty in your estimates so you don't have 0
percent chance of being wrong, but remember that's your intercept, your
regressors are not significant. Although you can say it is less than ..05, I
mean if its significant at .000000000000001 (or something like that), that's
less than .05, so its not unethical to say p < .05, but it sounds like you
need to understand the regression model a little better.

Joe King
206-913-2912
jp at joepking.com
"Never throughout history has a man who lived a life of ease left a name
worth remembering." --Theodore Roosevelt


-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of John Paul Telthorst
Sent: Sunday, December 20, 2009 10:13 PM
To: r-help at r-project.org
Subject: [R] Signif. codes

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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