Difference between revisions of "Least squares modelling (2014)"

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| vimeoID1 = 85473848
| vimeoID1 = 85473848
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| vimeoID2 = 85489099
| vimeoID3 =
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| video_download_link2_MP4 =http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp4
| video_download_link2_MP4 =http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp4
| video_download_link2_MP4_size = M
| video_download_link2_MP4_size = 304 M
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| video_download_link3_MP4 =  
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| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04C.mp4 Video] (119 M)   
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04C.mp4 Video] (119 M)   
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04C.mp3 Audio] (18 M)  
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04C.mp3 Audio] (18 M)  
| See the source code below
| None
| rowspan="7"|[http://learnche.mcmaster.ca/pid/?source=Least-squares Chapter 4]
| rowspan="7"|[http://learnche.mcmaster.ca/pid/?source=Least-squares Chapter 4]
| rowspan="7"|[[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:2014-4C3-6C3-Least-squares-modelling.pdf]] [[Media:2014-4C3-6C3-Least-squares-modelling.pdf|Slides for class]]  
| rowspan="7"|[[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:2014-4C3-6C3-Least-squares-modelling.pdf]] [[Media:2014-4C3-6C3-Least-squares-modelling.pdf|Slides for class]]  
|-
| 30 January
| 04D
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp4 Video] (304 M) 
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp3 Audio] (42 M)
| See the source code below
|}
|}



Revision as of 23:37, 30 January 2014

Class date(s): 29 January 2014 to 13 February 2014
Nuvola mimetypes pdf.png (PDF) Course slides
Download video: Link (plays in Google Chrome) [119M]

Download video: Link (plays in Google Chrome) [304 M]

Course notes and slides

Date Class number Video and audio files Other materials Reading (PID) Slides
29 January 04C Video (119 M) Audio (18 M) None Chapter 4 Nuvola mimetypes pdf.png Slides for class
30 January 04D Video (304 M) Audio (42 M) See the source code below

Software source code

Take a look at the software tutorial, particularly steps 16 to 22.

Code used in class

Least squares demo

x <- c(10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5)
y <- c(8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68)
plot(x,y)
model.ls <- lm(y ~ x)
summary(model.ls)

coef(model.ls)
confinf(model.ls)

names(model.ls)
model$resisduals
resid(model.ls)

plot(x, y)
abline(model.ls)