Regression Analysis

5 credits

Course, Bachelor's level, 1MS555

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
24 March 2025–8 June 2025
Language of instruction
The course will be taught in English, if needed
Entry requirements

60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.

Selection

Higher education credits in science and engineering (maximum 240 credits)

Application deadline
15 October 2024
Application code
UU-60501

Admitted or on the waiting list?

Registration period
10 March 2025–6 April 2025
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
24 March 2025–8 June 2025
Language of instruction
The course will be taught in English, if needed
Entry requirements

60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.

Admitted or on the waiting list?

Registration period
10 March 2025–6 April 2025
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
23 March 2026–7 June 2026
Language of instruction
The course will be taught in English, if needed
Entry requirements

60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.

Application deadline
15 October 2025
Application code
UU-60501

Admitted or on the waiting list?

Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
23 March 2026–7 June 2026
Language of instruction
The course will be taught in English, if needed
Entry requirements

60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.

Admitted or on the waiting list?

Information on registration from the department

About the course

A course in mathematical statistics. The course contains: Simple linear regression, multiple linear regression, variable selection, F-tests, least-squares estimation, collinearity, residual analysis, nonlinear regression, R commands.

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