(NMSA 407)   Linear regression

Lectures: doc. RNDr. Arnošt Komárek, Ph.D.

Lab sessions: Tu: 10:40 - 12:10 @K4 (lecturer: Matúš Maciak)
Tu: 12:20 - 13:50 @K4 (lecturer: Matúš Maciak)
Fr: 9:00 - 10:30 @K11 (lecturer: Stanislav Nagy)

General Information
There are three 'parallel' sessions scheduled for the term 2017/2018. These three sessions are always covering the same topics but they will not always take place within the same week (depending on holidays and days off). Students are, however, required to attend the session for which they are subscribed in SIS.

For most of the classes students will be required to work with the provided computers (lecture rooms K4 or K11) or with their own laptops with the statistical software R installed on them.

Credit Requirements
The credit requirements for the NMSA407 exercises are split into two main parts:

More details regarding the lab session credit and the homework assignments as well as the final test can be found in the outline.

Syllabus & Script Files
The syllabus for all three 'parallel' sessions of the NMSA407 labs will be updated during the term. The R script files provided below will be run through during the sessions and they will be explained and discussed in detail. However, it is not the R programming which is supposed to be explained during the lab sessions. Students are expected to be able to handle R programming by themselves. Instead, we will focus on a statistical methodology in the R script and the necessary theoretical background behind.

Supplementary Material
Some additional material (final test examples, brief theory on maximum likelihood estimation, etc.) can be found here.

Homework Assignments
There will be three homework assignments during the term. Each assignment can be worked out in a group of 1-3 students and different groups can be formed for each assignment. For more details and instructions see the description file for each homework assignment below.

Final Test Results
Minimum requirement for passing the final test exam is 60 % at least, thus 60 points out of 100.