Introductory Statistics and Regression Analysis

 15.0 ECTS credits
The course deals with the following components:
- data collection and working with data
- compiling and presenting data descriptively
- basic sampling theory and sampling distributions
- point and interval estimates and their properties
- introduction to hypothesis testing and p-values
- models of linear regression, model specification, and residual analysis
- inference theory for models in regression analysis
- the concepts multicollinearity, heteroscedasticity, and autocorrelation
- models for handling multicollinearity and heteroskedasticity

Applications are computer illustrated.

Progressive specialisation: G1N (has only upper鈥恠econdary level entry requirements)
Education level: Undergraduate level
Admission requirements
General admission requirements plus either - field-specific eligibility A4 (mathematics 3b or 3c; civics 1b or 1a1+1a2) with the exception of civics, or - field-specific eligibility 4 (English B, mathematics C, Civics A) with the exception of civics or admission to one of the Master programmes Service Management SASSM, Marketing SASMF or Accounting and Control SASRS
Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

This course is included in the following programme

More information

  • Start Spring 2025
  • Mode of study Campus
  • Language English, if required by international students
  • Course code STGA14
  • Application code KAU-43733
  • Study pace 100% (Day)
  • Study period week 4鈥13
  • Schedule
  • Introductory Information
  • Reading list