Difference between revisions of "Least squares modelling (2014)"
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__NOTOC__{{ | __NOTOC__{{ClassSidebarYouTube | ||
| date = 29 January 2014 to | | date = 29 January 2014 to 26 February 2014 | ||
| dates_alt_text = | | dates_alt_text = | ||
| vimeoID1 = | | vimeoID1 = Ja1tJeDPUds | ||
| vimeoID2 = | | vimeoID2 = UZz4vA49pPg | ||
| vimeoID3 = | | vimeoID3 = pkgwO8q0Oig | ||
| vimeoID4 = | | vimeoID4 = qeuQNS-g05w | ||
| vimeoID5 = | | vimeoID5 = QuO4R_ynd3M | ||
| vimeoID6 = | | vimeoID6 = 4PmKI3lOQXk | ||
| vimeoID7 = | | vimeoID7 = AkJcGmmT2S8 | ||
| vimeoID8 = | | vimeoID8 = pVzMPZYFzGE | ||
| course_notes_PDF = 2014-4C3-6C3-Least-squares-modelling.pdf | | course_notes_PDF = 2014-4C3-6C3-Least-squares-modelling.pdf | ||
| course_notes_alt = Course slides | | course_notes_alt = Course slides | ||
| Line 27: | Line 27: | ||
| video_download_link4_MP4_size = 216 M | | video_download_link4_MP4_size = 216 M | ||
| video_notes4 = | | video_notes4 = | ||
| video_download_link5_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class- | | video_download_link5_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05C.mp4 | ||
| video_download_link5_MP4_size = 276 M | | video_download_link5_MP4_size = 276 M | ||
| video_notes5 = | | video_notes5 = | ||
| video_download_link6_MP4 = | | video_download_link6_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06A.mp4 | ||
| video_download_link6_MP4_size = M | | video_download_link6_MP4_size = 239 M | ||
| video_notes6 = | | video_notes6 = | ||
| video_download_link7_MP4 = | | video_download_link7_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06B.mp4 | ||
| video_download_link7_MP4_size = M | | video_download_link7_MP4_size = 259 M | ||
| video_notes7 = | | video_notes7 = | ||
| video_download_link8_MP4 = | | video_download_link8_MP4 = http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-07B.mp4 | ||
| video_download_link8_MP4_size = M | | video_download_link8_MP4_size = 277 M | ||
| video_notes8 = | | video_notes8 = | ||
}} | }} | ||
<span style="color:#900000">{{Huge|This page is out of date.}}</span> {{Huge|Please see the [[Least_squares_modelling |latest version of these notes]].}} | |||
== Course notes and slides == | == Course notes and slides == | ||
| Line 60: | Line 63: | ||
| [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) | ||
| None | | None | ||
| rowspan=" | | rowspan="10"|[http://learnche.mcmaster.ca/pid/?source=Least-squares Chapter 4] | ||
| rowspan=" | | rowspan="10"|[[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 | | 30 January | ||
| Line 84: | Line 87: | ||
| 05C | | 05C | ||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05C.mp4 Video] (276 M) | | [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05C.mp4 Video] (276 M) | ||
| | | [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-05C.mp3 Audio] (42 M) | ||
| [[Media:2014-4C3-6C3-Least-squares-practice-problems.pdf|Practice problems]] (with partial solutions) | | [[Media:2014-4C3-6C3-Least-squares-practice-problems.pdf|Practice problems]] (with partial solutions) | ||
|- | |||
| 10 February | |||
| 06A | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06A.mp4 Video] (239 M) | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06A.mp3 Audio] (43 M) | |||
| None | |||
|- | |||
| 12 February | |||
| 06B | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06B.mp4 Video] (259 M) | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-06B.mp3 Audio] (42 M) | |||
| None | |||
|- | |||
| 13 February | |||
| NA | |||
| None | |||
| None | |||
| [[Written_midterm_-_2014|Collaborative midterm]] | |||
|- | |||
| 24 February | |||
| 07A | |||
| None | |||
| None | |||
| style="text-align: left;" | | |||
* [[Media:Course-evaluation-2014.pdf|Course evaluation]] | |||
* [[Media:Multiple-linear-regression-learning-2014.pdf|Multiple linear regression exercise]] | |||
|- | |||
| 26 February | |||
| 07B | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-07B.mp4 Video] (277 M) | |||
| [http://learnche.mcmaster.ca/media/2014-4C3-6C3-Class-07B.mp3 Audio] (41 M) | |||
| None | |||
|} | |} | ||
| Line 94: | Line 129: | ||
== Code used in class == | == Code used in class == | ||
Least squares demo | Least squares demo; [http://www.r-fiddle.org/#/fiddle?id=kLmMLXev&version=1 run this code in your web-browser]. | ||
<syntaxhighlight lang="sas"> | <syntaxhighlight lang="sas"> | ||
x <- c(10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5) | x <- c(10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5) | ||
Latest revision as of 07:19, 4 January 2017
| Class date(s): | 29 January 2014 to 26 February 2014 | ||||
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This page is out of date. Please see the latest version of these notes.
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 | ||
| 05 February | 05B | Video (216 M) | Audio (42 M) | None | ||
| 06 February | 05C | Video (276 M) | Audio (42 M) | Practice problems (with partial solutions) | ||
| 10 February | 06A | Video (239 M) | Audio (43 M) | None | ||
| 12 February | 06B | Video (259 M) | Audio (42 M) | None | ||
| 13 February | NA | None | None | Collaborative midterm | ||
| 24 February | 07A | None | None | |||
| 26 February | 07B | Video (277 M) | Audio (41 M) | None | ||
Software source code
Take a look at the software tutorial, particularly steps 16 to 22.
Code used in class
Least squares demo; run this code in your web-browser.
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)