732G93 · 7.5 credits · Basic level (G1F) · Statistik
Multiple Regression and Time Series Analysis
Active · next start VT 2027
60%
passed the latest ordinary exam
TEN1 · 2 Jun 2026 · 120 students
63%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 436 students
77%
Harder than 77% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 214 students.
Exam
TEN1 Examination
- VG
- G
- U
Ordinary exams
63% passed · 436 students
- 60%120
- 66%94
- 40%65
- 85%95
- 55%62
Re-exams
46% passed · 226 students
- 39%41
- 59%22
- 0%20
- 31%29
- 62%29
- 31%16
- 78%9
- 79%19
- 82%11
- 43%30
- Pass the re-exam: 46% (226 students), compared with 63% (436 students) on the ordinary exam
- Get VG: 28% (662 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 50%4
- 100%1
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
PROJ Project
- G
Main rounds
100% passed · 303 students
- 100%54
- 100%61
- 100%34
- 100%92
- 100%62
Later rounds
100% passed · 160 students
- 100%35
- 100%38
- 100%5
- 100%6
- 100%5
- 100%9
- 100%5
- 100%5
- 100%25
- 100%15
- 100%12
- Pass a later round: 100% (160 students), compared with 100% (303 students) on the ordinary exam
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%4
- 100%3
- 100%4
About the course
Aim
On completion of the course, the student should
- account for and apply the most common statistical inference methods in regression and time series analysis incl. time series linked to demand and index series
- assess which model is relevant for different data
- assess the quality of data and interpret the results of regression and time series analyzes
- analyze the data material using standard statistical software
Content
The following is studied in the course
- Simple and multiple linear regression,
- Index theory and demand analysis,
- Descriptive time series analysis with decomposition and forecasting,
- Standard programs for regression and time series analysis are used in the course.
- Examiner
- Jolanta Pielaszkiewicz
- Main field of study
- Statistik