MATH 3454

(3 credits) 3 hours lecture, 1 hour lab, 1 hour tutorial This course provides an introduction to multiple linear regression and time series analysis. Relationship between a single response variable and several explanatory variables will be modelled via regression models. Main topics include multiple linear regression, logistic regression, quantile regression and nonlinear regression. Practical aspects of these regression models with applications to problems in Data Science with focus on interpretation, estimation, and hypothesis testing of the parameters of the respective models will be presented.