DATA ANALYSIS AND INFERENCE

Graduate

This course is an introduction to data analysis with a focus on regression. Topics include: initial examination of data, correlation, and simple and multiple regression models using least squares. Inference for regression parameters, confidence and prediction intervals, diagnostics and remedial measures interactions and dummy variables, variable selection, least squares estimation and inference for non-linear regression will also be discussed. Graduate students will be expected to demonstrate a deep understanding of the course concepts by connecting these topics to ongoing research and developing, assessing, and drawing inference from appropriate models to answer open questions through the analysis of complex data sets. This course is cross- level listed with STAT 4550. Credit cannot be received for both MCS 8550 and STAT 4550. PREREQUISITE: Admission to a graduate program in Science HOURS OF CREDIT: 3