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Course unit, curriculum year 2023–2024
DATA.STAT.460

Regression analysis, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2023–22.10.2023)
Active in period 3 (1.1.2024–3.3.2024)
Course code
DATA.STAT.460
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Intermediate studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Hyon-Jung Kim-Ollila
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %

Linear regression analysis with one explanatory variable, graphical inspection, defining a linear model, parameter estimation, hypothesis testing.

Multiple linear regression model and least squares estimation, model building and diagnostics. General linear tests (reduced vs. full model), Extra sums of squares.

Specific regression models, problems related to building a regression model: Qualitative predictors ,Polynomial regression, Weighted Least Squares, Ridge regression, Robust regression

Learning outcomes
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Completion of all options is required.

Participation in teaching

28.08.2023 16.10.2023
Active in period 1 (1.8.2023–22.10.2023)

Exam

18.10.2023 18.10.2023
Active in period 1 (1.8.2023–22.10.2023)
17.01.2024 17.01.2024
Active in period 3 (1.1.2024–3.3.2024)