Introductory Statistics and Regression Analysis
15.0 ECTS creditsThe 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.
- 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‐secondary 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
- Master Programme in Marketing: Master (studied during year 1)
- Master Programme in Marketing: Master (studied during year 1)
- Master Programme in Accounting and Control: Master (studied during year 1)
- Master Programme in Accounting and Control: Master (studied during year 1)
- Master Programme in Service Management: Master (studied during year 1)
- Master Programme in Service Management: Master (studied during year 1)