Module Descriptor School of Computer Science and Statistics
|Module Name||Introduction to Multiple Linear Regression|
|Module Short Title|
Lecture hours: 21, Lab hours: 3
Total hours: 24
|Module Personnel||Prof M. O’Regan and demonstrators|
Students will have the ability
Multiple linear regression – and its many variants – is the most widely used tool in applied statistics. This course will build on simple linear regression, introduced in the Base Module. The aim is to become familiar with its use, to further develop experience and confidence in use and role of statistical modelling. As the class is diverse in terms of research area and quantitative skills, students are encouraged to conduct small analyses of data in their own research fields.
Specific topics addressed in this module include:
|Recommended Reading List|
The reading list will be available at a later date.
Base Module ST7001.
Exam, one optional projects 25%
The final grade will be max( exam/100, exam/75 + project/25)
|Academic Year of Data|