290254 PS Multivariat Regression Analysis (2012W)
Theoretical background and empirical application for geographers and spatial planners
Continuous assessment of course work
Labels
Anmeldung über die E-Learning-Plattform - klicken Sie dazu auf den Moodle-Button.
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
03.10.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
10.10.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
17.10.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
24.10.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
31.10.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
07.11.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
14.11.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
21.11.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
28.11.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
05.12.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
12.12.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
09.01.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
16.01.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
23.01.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Wednesday
30.01.
09:00 - 11:00
Seminarraum Geographie NIG 5.OG C0528
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
(MG-W5-PI) (MR1-PI) (B11-8) (L2-FW)
Last modified: Mo 07.09.2020 15:42
The aim of the lecture is to provide the students with a solid understanding of the basic principles and theoretical underpinnings of multivariate regression analysis with a special focus on geographical applications. The alternation of theoretically and more applied lectures builds the basic organizational principle of the course. An emphasis is placed upon intuitive understanding without neglect of basic mathematical and statistical derivations. We will use standard software packages such as Excel, R or Stata.