Linear model, finding the slope

I'm not sure what you are doing when you "Normalize."  Would you explain?

To see if the slope is significant, look at the model summary, in your
example:

summary(model)

Charles Annis, P.E.

Charles.Annis at StatisticalEngineering.com
phone: 561-352-9699
eFax:  614-455-3265
http://www.StatisticalEngineering.com

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Melissa2k9
Sent: Friday, April 03, 2009 5:51 AM
To: r-help at r-project.org
Subject: [R] Linear model, finding the slope

Hi

for some data I working on I am merely plotting time against temperature for
a variable named filmclip. So for example, I have volunteers who watched
various film clips and have used infared camera to monitor the temperature
on their face at every second of the clip. 

The variable names I have used are Normalised ( for the temperature) and
Frame (for the time in seconds).

So I have fitted a linear model

model<-lm(Normalised~Frame,data=All,subset=((Subject==1)&(Filmclip=="Whateve
r")

and coef(model)

gives me an intercept value and a value for the slope. Now what I want to do
is find out if the slope is significant or not. So far I just have values
such as 0.02211 for example and have no idea if this is to be interpreted as
significant or not. 

Sorry if I haven't been clear but any advice on how to find out what values
are significant would be greatly appreciated.

Linear model, finding the slope

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