Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

In the presence of multicollinearity ridge regression techniques result in estimated coefficients that are biased but have a smaller variance than ordinary least ...

Collinearity among independent variables in multiple linear regression can have severe effects on the precision of response estimation for some region of interest of independent variables.

This course is compulsory on the BSc in Data Science and BSc in Mathematics, Statistics and Business. This course is freely available as an outside option to students on other programmes where ...