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

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


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



Revision as of 13:46, 31 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)
confint(model.ls)

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

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