STA 312Statistics Modeling
Statistics · Faculty of Natural and Applied Sciences · 3 credits
Description
The course introduces the concepts of simple linear regression and multiple regression analysis through discussion of the assumptions underlying linear regression models, diagnostic tests, and correction methods for heteroscedasticity, multicollinearity and serial correlations. The course also presents deterministic and stochastic time series models and includes the basic smoothing and extrapolation techniques, model specification, parameter estimation and forecasting for the different time series models. Prerequisite: STA 315.
Prerequisites
Common questions about STA 312
What is STA 312 at NDU?
STA 312 Statistics Modeling is a 3-credit course at Notre Dame University – Louaize (NDU), in the Faculty of Natural and Applied Sciences. The course introduces the concepts of simple linear regression and multiple regression analysis through discussion of the assumptions underlying linear regression models, diagnostic tests, and correction methods for heteroscedasticity, multicollinearity and serial correlations.
How many credits is STA 312?
STA 312 Statistics Modeling is worth 3 credits at NDU.
What are the prerequisites for STA 312?
STA 312 lists 1 prerequisite: STA 315 Mathematical Statistics.