Part 2: Linear regression

(version copied from Bb on 31 March 2017)

Padlets under construction: please contribute

For the table: lecture slides will be available before each lecture and classnotes and R-code directly after each lecture. Exercises will available in week 6.

and Quiz.

WeekDatesTopic (L=lecture, S=supervision)HandoutsChapters/ResourcesExercises/Rcode
6 07.02 L7: The linear regression model - NB KLJ1!  L7.pdf and L7classnotes.pdf F3.1 (p 73-86)  L7.R
6 09.02 S6: Supervision of RecEx3 in the new interactive room Smia on the 2.etg of sentralbygg2, room 212. We will work with Problems 1 and 2 in groups. PC available for each group. Solutions to RecEx3 will be available after this supervision.    
6 10.02 L8: Model assessment, covariates, parameter estimation  L8.pdf and L8classnotes.pdf

F3.1.2, F3.1.3, F3.2

Maximum likelihood in general with Poission example (in Norwegian)

 L8.R
7 14.02 L9: Parameter estimation, properties of estimators.  L9.pdf and L9classnotes.pdf F3.2  L9.R
7 16.02 S7: Supervision of RecEx3 in Smia. Suggestion: work with RecEx3P3 - useful for L10.      
7 17.02 L10: Properties of residuals, distribution of sigmahat, confidence intervals and hypotheses about betaj, R2  L10.pdf and L10classnotes.pdf F3.2 Repetition about hypothesis testing (in Norwegian), and video about how to calculate a p-value (in Norwegian)  L10.R
8 21.02 L11: Final part of F3.2: Parameter estimation, start on F3.4 Model selection  L11.pdf and L11classnotes.pdf F3.4  L11.R
8 23.02 S8: Supervison of RecEx4, and CompulsoryPart4 a) and b) in Smia    
8 24.02 L12: F3.4: Model selection, briefly BoxCox and Taylor approximations to mean and variance of nonlinear functions of RVs.  L12.pdf, L12classnotes.pdf and Quiz F3.4  L12.R
9 28.02 S9: Supervision in EL6: 12.15-14.00     CompulsoryPart2.pdf
9 02.03 S10: Supervision in Smia      

Here:

and a file merged together to TMA4267Part2and3_v17.pdf (for Part 2 and 3 together).