Difference between revisions of "Least squares modelling (2014)"
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Kevin Dunn (talk | contribs) |
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| vimeoID1 = 85473848 | | vimeoID1 = 85473848 | ||
| vimeoID2 = 85489099 | | vimeoID2 = 85489099 | ||
| vimeoID3 = | | vimeoID3 = 85777548 | ||
| vimeoID4 = | | vimeoID4 = | ||
| vimeoID5 = | | vimeoID5 = | ||
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| video_download_link2_MP4_size = 304 M | | video_download_link2_MP4_size = 304 M | ||
| video_notes2 = | | video_notes2 = | ||
| video_download_link3_MP4 = | | video_download_link3_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05A.mp4 | ||
| video_download_link3_MP4_size = M | | video_download_link3_MP4_size = 291 M | ||
| video_notes3 = | | video_notes3 = | ||
| video_download_link4_MP4 = | | video_download_link4_MP4 = | ||
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| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp4 Video] (304 M) | | [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) | | [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-04D.mp3 Audio] (42 M) | ||
| See the source code below | |||
|- | |||
| 03 February | |||
| 05A | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05A.mp4 Video] (291 M) | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05A.mp3 Audio] (41 M) | |||
| See the source code below | | See the source code below | ||
|} | |} |
Revision as of 23:34, 3 February 2014
Class date(s): | 29 January 2014 to 13 February 2014 | ||||
(PDF) | Course slides | ||||
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Course notes and slides
- Course textbook (print chapter 4)
- Slides for class
Date | Class number | Video and audio files | Other materials | Reading (PID) | Slides | |
---|---|---|---|---|---|---|
29 January | 04C | Video (119 M) | Audio (18 M) | None | Chapter 4 | Slides for class |
30 January | 04D | Video (304 M) | Audio (42 M) | See the source code below | ||
03 February | 05A | Video (291 M) | Audio (41 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)
confint(model.ls)
names(model.ls)
model.ls$resisduals
resid(model.ls)
plot(x, y)
abline(model.ls)