No, so the probability means that's the probability of getting that data by chance, so a p-value of .9997 means there is a .9997 probability that the data could be acquired by chance. This is a very simplistic view and you should study the regression model better.
Joe King 206-913-2912 j...@joepking.com "Never throughout history has a man who lived a life of ease left a name worth remembering." --Theodore Roosevelt From: John Paul Telthorst [mailto:jpteltho...@gmail.com] Sent: Sunday, December 20, 2009 10:36 PM To: Joe King Subject: Re: [R] Signif. codes Thanks for the reply, I definitely do need to understand the regression model better. I got a p-value of .9997, so that would be > .05? I guess I'm confused about the significance part you talked about. John On Mon, Dec 21, 2009 at 12:27 AM, Joe King <j...@joepking.com> wrote: 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 j...@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-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of John Paul Telthorst Sent: Sunday, December 20, 2009 10:13 PM To: r-help@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 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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- John Telthorst, MHRIR University of Illinois Alumnus [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
